diff --git a/.github/workflows/oedm-performance-figures.yml b/.github/workflows/oedm-performance-figures.yml new file mode 100644 index 0000000..6dbb71f --- /dev/null +++ b/.github/workflows/oedm-performance-figures.yml @@ -0,0 +1,45 @@ +name: Build OEDM performance figures + +on: + push: + branches: + - codex/oedm-v023-manuscript + paths: + - manuscript/oedm2026/scripts/make_manuscript_figures.py + - manuscript/oedm2026/tables/performance_tables_2026-08-06/** + - benchmarks/datasets.py + - src/stratascan/synthetic.py + - topology_noise_benchmark/generators.py + - .github/workflows/oedm-performance-figures.yml + +permissions: + contents: write + +jobs: + render: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + ref: codex/oedm-v023-manuscript + - uses: actions/setup-python@v5 + with: + python-version: '3.11' + cache: pip + - name: Install package and plotting dependencies + run: | + python -m pip install --upgrade pip + python -m pip install -e . + python -m pip install matplotlib pandas scikit-learn + - name: Generate figures and tables + env: + PYTHONPATH: src:. + run: python manuscript/oedm2026/scripts/make_manuscript_figures.py + - name: Commit rendered artifacts + run: | + git config user.name github-actions[bot] + git config user.email 41898282+github-actions[bot]@users.noreply.github.com + git add manuscript/oedm2026/figures/performance_2026-08-06 + git diff --cached --quiet && exit 0 + git commit -m "Render reproducible OEDM performance figures" + git push diff --git a/benchmarks/protocol.v0.2.3-biological.json b/benchmarks/protocol.v0.2.3-biological.json new file mode 100644 index 0000000..b3259c7 --- /dev/null +++ b/benchmarks/protocol.v0.2.3-biological.json @@ -0,0 +1,69 @@ +{ + "schema_version": 1, + "protocol_version": "0.2.3-biological", + "purpose": "released_stratascan_0_2_3_biological_revalidation_against_frozen_baselines", + "parameter_mode": "released_defaults_fixed", + "resources": { + "threads": 1, + "timeout_seconds": 1800, + "memory_limit_mb": 8192 + }, + "methods": ["StrataSCAN"], + "stochastic_methods": [], + "method_parameters": { + "version": "0.2.3", + "k": 32, + "shell_ranks": [4, 8, 16, 32], + "criterion": "semantic_icl", + "initial_component_bound": 8, + "hard_component_bound": 24, + "background_distribution": "gamma_components", + "component_roles": "largest_rate_gap", + "core_rank": 4, + "connectivity_rank": 4, + "border_rule": "strict_local_core_radius" + }, + "comparison": { + "baseline_status": "frozen_reused", + "baseline_implementation_commit": "5071f3237a76cfd5c7c6c8179df446c0335127b7", + "baseline_results": [ + "results/runs/publication_full_7synthetic_20260722/results.csv", + "results/runs/samusik_01/results.csv", + "results/runs/samusik_all_samples_02_10/results.csv" + ], + "quality_tolerance": 0.002, + "severe_regression": 0.02, + "runtime_ratio_limit": 1.25 + }, + "synthetic": { + "quality_seeds": [], + "scaling_seeds": [], + "quality_sizes": [], + "scaling_sizes": [], + "cases": [] + }, + "cytometry": { + "seeds": [42], + "datasets": [ + {"id": "levine", "features": "data/processed/levine/features.csv", "feature_metadata": "data/processed/levine/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/levine/event_metadata.csv", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "mosmann", "features": "data/processed/mosmann/features.csv", "feature_metadata": "data/processed/mosmann/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 150.0}, "metadata": "data/processed/mosmann/event_metadata.csv", "label_column": "population_id", "background_labels": ["other"]}, + {"id": "nilsson", "features": "data/processed/nilsson/features.csv", "feature_metadata": "data/processed/nilsson/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 150.0}, "metadata": "data/processed/nilsson/event_metadata.csv", "label_column": "population_id", "background_labels": ["other"]}, + {"id": "samusik_01", "features": "data/processed/samusik_01/features.csv.gz", "feature_metadata": "data/processed/samusik_01/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_01/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_02", "features": "data/processed/samusik_02/features.csv.gz", "feature_metadata": "data/processed/samusik_02/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_02/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_03", "features": "data/processed/samusik_03/features.csv.gz", "feature_metadata": "data/processed/samusik_03/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_03/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_04", "features": "data/processed/samusik_04/features.csv.gz", "feature_metadata": "data/processed/samusik_04/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_04/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_05", "features": "data/processed/samusik_05/features.csv.gz", "feature_metadata": "data/processed/samusik_05/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_05/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_06", "features": "data/processed/samusik_06/features.csv.gz", "feature_metadata": "data/processed/samusik_06/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_06/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_07", "features": "data/processed/samusik_07/features.csv.gz", "feature_metadata": "data/processed/samusik_07/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_07/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_08", "features": "data/processed/samusik_08/features.csv.gz", "feature_metadata": "data/processed/samusik_08/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_08/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_09", "features": "data/processed/samusik_09/features.csv.gz", "feature_metadata": "data/processed/samusik_09/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_09/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]}, + {"id": "samusik_10", "features": "data/processed/samusik_10/features.csv.gz", "feature_metadata": "data/processed/samusik_10/feature_metadata.csv", "feature_classes": ["type"], "transform": {"name": "arcsinh", "cofactor": 5.0}, "metadata": "data/processed/samusik_10/event_metadata.csv.gz", "label_column": "population_id", "background_labels": ["unassigned"]} + ] + }, + "gaia": { + "seeds": [42], + "data_root": "data/raw/mctnc/MCTNC_open_data_release/MCTNC_open_data_release/data", + "profiles": ["unsupervised_field"], + "ruwe_max": 1.6 + } +} diff --git a/intended_regime_benchmark/__init__.py b/intended_regime_benchmark/__init__.py new file mode 100644 index 0000000..31fbe51 --- /dev/null +++ b/intended_regime_benchmark/__init__.py @@ -0,0 +1,4 @@ +"""Standalone synthetic benchmark for compact targets in diffuse background.""" + +SCHEMA_VERSION = 1 + diff --git a/intended_regime_benchmark/metrics.py b/intended_regime_benchmark/metrics.py new file mode 100644 index 0000000..f0c8d03 --- /dev/null +++ b/intended_regime_benchmark/metrics.py @@ -0,0 +1,34 @@ +from __future__ import annotations + +from typing import Any + +import numpy as np + +from redesigned_benchmark_pilot.metrics import evaluate as pilot_evaluate + + +def evaluate(y_true: np.ndarray, y_pred: np.ndarray) -> dict[str, Any]: + metrics = pilot_evaluate(y_true, y_pred) + true_labels = np.unique(y_true[y_true >= 0]) + pred_labels = np.unique(y_pred[y_pred >= 0]) + substantial = np.zeros((true_labels.size, pred_labels.size), dtype=bool) + for row, true_label in enumerate(true_labels): + truth = y_true == true_label + threshold = max(1, int(np.ceil(np.sum(truth) * 0.05))) + for column, pred_label in enumerate(pred_labels): + substantial[row, column] = np.sum(truth & (y_pred == pred_label)) >= threshold + fragments = np.sum(substantial, axis=1) if substantial.size else np.zeros(true_labels.size) + metrics["extra_signal_fragments"] = int(np.sum(np.maximum(fragments - 1, 0))) + metrics["mean_target_fragments"] = float(np.mean(fragments)) if fragments.size else 0.0 + metrics["merged_predicted_clusters"] = ( + int(np.sum(np.sum(substantial, axis=0) >= 2)) if substantial.size else 0 + ) + metrics["spurious_background_majority_clusters"] = int( + sum( + np.sum((y_pred == label) & (y_true < 0)) + > np.sum((y_pred == label) & (y_true >= 0)) + for label in pred_labels + ) + ) + return metrics + diff --git a/manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf b/manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf index 9d0fc13..cfe3163 100644 Binary files a/manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf and b/manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf differ diff --git a/manuscript/oedm2026/README.md b/manuscript/oedm2026/README.md index e1a38bd..26b663f 100644 --- a/manuscript/oedm2026/README.md +++ b/manuscript/oedm2026/README.md @@ -31,6 +31,12 @@ renders. The evidence is deliberately separated by evaluation stage: +- the new 0.2.3 release robustness grid: seven families, five sizes, and five + seeds (175 StrataSCAN jobs), with all jobs completed, a 22.6x median paired + speedup against the conservative solver, and retained negative cells; +- completed serial 0.2.3 multidensity scaling measurements through 2,000,000 + points; the remaining five-million-point campaign cells are explicitly + incomplete and are not reported as endpoints; - the original 315-job synthetic reference matrix: seven families, five pre-freeze seeds, nine methods, `n = 5,000`, with quality, segmentation, runtime, and process-memory measurements; @@ -44,11 +50,13 @@ The evidence is deliberately separated by evaluation stage: - the prespecified 24-field Gaia DR3 pilot; - conventional graph/density baselines where protocol coverage permits. -The scalability evidence is deliberately separated by algorithm generation. -The evaluated fixed-range snapshot has direct monitored runs through the +The scalability evidence is deliberately separated by algorithm generation and +protocol. The 0.2.3 release has completed direct serial multidensity runs +through 2,000,000 points; its other scaling cells remain in progress. The +historical fixed-range snapshot has direct monitored runs through the 396,460-cell Mosmann dataset. The one-million-point dev9 smoke test and the five-million-point 0.1.2 matrix are retained as lineage evidence, not attributed -to the submitted solver. `tables/scalability_evidence_boundaries.csv` records +to the submitted solver. The historical scalability evidence table records this distinction explicitly. The incomplete 359-field Gaia sweep is not included in any result, table, test, @@ -82,5 +90,5 @@ artifact. The manuscript distinguishes strong biological recovery evidence from segmentation/background limitations and the mixed Gaia pilot rather than making a universal-superiority claim. -The checked PDF is nine US-Letter pages including references. Its SHA-256 -digest is `fa85c74693abfe82b92f1bacf73ff81d983e0449c3da5a898d382a3bf4e7c19f`. +The checked 0.2.3 PDF is ten US-Letter pages including references. Its SHA-256 +digest is `95fd4970b9925677081403ceecd0e26cea4fbcb5afed9077bb7c68b370322a15`. diff --git a/manuscript/oedm2026/REVIEW_AND_REVISION.md b/manuscript/oedm2026/REVIEW_AND_REVISION.md index 81d76ae..51b2412 100644 --- a/manuscript/oedm2026/REVIEW_AND_REVISION.md +++ b/manuscript/oedm2026/REVIEW_AND_REVISION.md @@ -158,3 +158,39 @@ the locked revision still has only two unseen seeds per family. - Offline source and wheel builds completed for version 0.2.2. - The exact final PDF is nine US-Letter pages with result floats before the discussion and references. + +## Round 5 - 0.2.3 release update and review + +The workshop manuscript was updated for the compiled constrained-Gamma solver +and guarded local confirmation introduced in 0.2.3. The review found that the +earlier draft would have materially overstated provenance if its fixed 1--8 +component description and historical real-data outputs were silently treated as +the released 0.2.3 method. + +Corrections in this round: + +- The method and protocol sections now describe the released adaptive 8--24 + component search, one split-warm ordinary fit, and the stricter local + confirmation conditions. +- A new results subsection reports the completed 175-cell seven-family + robustness grid, including all recovered conservative timeouts, paired speed + and pairwise-F1 summaries, and the four retained material regressions. +- A new serial scaling table reports only the completed 0.5M, 1M, and 2M + multidensity jobs. The unfinished 5M and remaining-family cells, and all + unfinished campaign phases, are explicitly excluded from conclusions. +- The biological, Gaia, and older locked-synthetic analyses are now labelled + historical rather than evidence for 0.2.3, because they were not rerun under + the release profile. + +Remaining release-specific limitations are visible in the paper: quality can +still change because local optima differ from the conservative solver; four +non-imbalanced cells lose more than 0.05 pairwise F1; and the completed scaling +evidence currently covers a single family and seed. The review recommendation +therefore remains scoped: the new data support a speed-and-robustness release, +not universal quality or real-data superiority. + +### Round 5 verification + +- Tectonic compilation completed with no unresolved references. +- The final ten-page PDF was rasterized at 150 dpi and every page was visually + inspected; no clipping, overlap, or broken table/figure layout was found. diff --git a/manuscript/oedm2026/artifact_manifest.json b/manuscript/oedm2026/artifact_manifest.json index 2c8755e..b8f12ce 100644 --- a/manuscript/oedm2026/artifact_manifest.json +++ b/manuscript/oedm2026/artifact_manifest.json @@ -4,18 +4,18 @@ "evaluated_method": { "display_name": "MDL-StrataSCAN", "historical_result_id": "StrataSCAN-Optimization", - "snapshot": "0.2.0-dev10", - "gamma_component_range": [1, 8], - "adaptive_component_search": false, + "snapshot": "0.2.3", + "gamma_component_range": [1, 24], + "adaptive_component_search": true, "shell_ranks": [4, 8, 16, 32], "core_rank": 4, "connectivity_rank": 4 }, "release_context": { - "public_version": "0.2.2", + "public_version": "0.2.3", "public_component_range": [1, 24], "public_adaptive_component_search": true, - "relationship": "The public release preserves the 0.2.1 algorithm defaults; manuscript results use the frozen fixed-range snapshot above." + "relationship": "The manuscript reports the 0.2.3 release robustness and completed serial scaling evidence separately from historical fixed-range synthetic, biological, and Gaia results." }, "declared_endpoints": { "synthetic": "macro_target_f1", @@ -30,7 +30,7 @@ "biological_study_leave_one_out" ], "sha256": { - "manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf": "fa85c74693abfe82b92f1bacf73ff81d983e0449c3da5a898d382a3bf4e7c19f", + "manuscript/oedm2026/MDL-StrataSCAN_OEDM2026_draft.pdf": "95fd4970b9925677081403ceecd0e26cea4fbcb5afed9077bb7c68b370322a15", "results/runs/publication_full_7synthetic_20260722/results.csv": "8c4ebadc9c1bde8f2e0b0ce69dd68d0daa62c5d5a3432b76fefd3fe317e3fa68", "results/runs/samusik_01/results.csv": "463931d1250ce4eb0e4505f231473d285288882cac4aa2bef6206365e9ac545e", "results/runs/samusik_all_samples_02_10/results.csv": "28839ba4921b63318a45fcce3033cbe478475b0c2851a0f5e5d00546bc4e1bf7", @@ -44,12 +44,15 @@ "benchmarks/protocol.optimization-v0.2.0-dev10.json": "8d81d8c76c6936dd84a1c54153251304da53d60d9914430cd9ea77f1096614cc", "benchmarks/protocol.optimization-v0.2.0-dev10-real-pilot.json": "8d975776ada0bda94a5a22ad4c26a45423fb71be957af067763802853362e622", "benchmarks/protocol.v0.2.1-release.json": "bee41c84b8d609ca3d8cbaf6a7dd0bfb68d785948203fbadb3258a0f2148c0ee", - "benchmarks/protocol.v0.2.2-release.json": "d4a16647fafea23c11e384fea241d861558c5981687ac6df3e2998c3c7eae279" + "benchmarks/protocol.v0.2.2-release.json": "d4a16647fafea23c11e384fea241d861558c5981687ac6df3e2998c3c7eae279", + "benchmarks/protocol.v0.2.3-release.json": "0a26b3a0a8bd0248864dc560d27aaf9dec4582d102ff2489f40ba67132585c4c", + "benchmarks/protocol.v0.2.3-seven-family-robustness.json": "f10d1488dcfd5930e7df810d7ecfcc3a3ef293c0a2c2daff7b1a6d0f434e0f8a", + "benchmarks/protocol.v0.2.3-seven-family-stratascan-scalability-5m.json": "1f7dbd5df7b4a2134d5fbb7f820778b08335821e5831b3be77900bd7cd8c7a77" }, "notes": [ "Frozen result files retain their historical method identifiers.", "Current replay protocols use explicit versioned identifiers so the mutable public StrataSCAN alias cannot select the wrong estimator.", "The target-background and target-background-structure harmonic F1, Pareto counts, and study sensitivity summaries were computed after the frozen predictions and are not predeclared endpoints.", - "Scalability records are attributed to their exact algorithm generation; only fixed-range MDL rows characterize the submitted snapshot." + "Scalability records are attributed to their exact algorithm generation and protocol; the completed 0.2.3 serial multidensity records through two million points are separated from historical rows and incomplete campaign cells." ] } diff --git a/manuscript/oedm2026/figures/fig0_method_pipeline.pdf b/manuscript/oedm2026/figures/fig0_method_pipeline.pdf index 5163832..1a07955 100644 Binary files a/manuscript/oedm2026/figures/fig0_method_pipeline.pdf and b/manuscript/oedm2026/figures/fig0_method_pipeline.pdf differ diff --git a/manuscript/oedm2026/figures/fig0_method_pipeline.svg b/manuscript/oedm2026/figures/fig0_method_pipeline.svg index 5c0ab4b..d2ed903 100644 --- a/manuscript/oedm2026/figures/fig0_method_pipeline.svg +++ b/manuscript/oedm2026/figures/fig0_method_pipeline.svg @@ -6,7 +6,7 @@ - 2026-07-30T14:14:10.424906 + 2026-08-04T15:48:43.400165 image/svg+xml @@ -21,574 +21,574 @@ - 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- - + + - - + + diff --git a/manuscript/oedm2026/figures/performance_2026-08-06/README.md b/manuscript/oedm2026/figures/performance_2026-08-06/README.md new file mode 100644 index 0000000..aaf6b92 --- /dev/null +++ b/manuscript/oedm2026/figures/performance_2026-08-06/README.md @@ -0,0 +1,18 @@ +# Reproducible OEDM performance figures + +These artifacts are generated exclusively from repository data and generators by: + +```bash +PYTHONPATH=src:. python manuscript/oedm2026/scripts/make_manuscript_figures.py +``` + +Outputs: + +- `fig1_noise99_dotwhisker`: target-wise, noise, and pairwise F1 on six 99% diffuse-background benchmarks; +- `fig2_noise_fraction_sweep`: response to 50--99% diffuse background; +- `fig3_scalability`: successful-run runtime and categorical completion/failure states; +- `fig4_standard_benchmark_gallery`: first six standard synthetic generators; +- `fig5_noise99_benchmark_gallery`: six exact topology-noise generators; +- `table1_noise99_granularity`: cluster-count granularity summary. + +Policy: no image generation, no heatmaps, no missing/failure-to-zero imputation. Pending scalability cells remain pending rather than being scored as failures. diff --git a/manuscript/oedm2026/figures/performance_2026-08-06/provenance.json b/manuscript/oedm2026/figures/performance_2026-08-06/provenance.json new file mode 100644 index 0000000..d550c8b --- /dev/null +++ b/manuscript/oedm2026/figures/performance_2026-08-06/provenance.json @@ -0,0 +1,12 @@ +{ + "metric_sources": [ + "manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_summary.csv", + "manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_summary_long.csv", + "manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_summary.csv" + ], + "gallery_sources": [ + "benchmarks.datasets.load_synthetic", + "topology_noise_benchmark.generators.generate" + ], + "policy": "No image generation, no heatmaps, no failure-to-zero imputation." +} diff --git a/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.csv b/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.csv new file mode 100644 index 0000000..c5f3734 --- /dev/null +++ b/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.csv @@ -0,0 +1,10 @@ +method,completed,median_ratio,min_ratio,max_ratio,median_abs_log2,coverage +StrataSCAN,6.0,1.9374999835,1.25,2.4166667,0.952108217657458,6/6 +DBSCAN,6.0,1866.875,1862.208333,1871.0,10.866409374292243,6/6 +HDBSCAN,,,,,,0/6 +OPTICS,,,,,,0/6 +SNN-DBSCAN,6.0,792.39583335,787.875,794.7083333,9.630074826707933,6/6 +VDBSCAN-2007,6.0,57.3541667,53.875,65.3333333,5.840776304070054,6/6 +AMD-DBSCAN,,,,,,0/6 +kNN-DBSCAN,6.0,1774.9375,1771.875,1776.375,10.793552425685789,6/6 +kNN+Leiden,6.0,9.27083335,9.1666667,9.5833333,3.212695385001843,6/6 diff --git a/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.tex b/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.tex new file mode 100644 index 0000000..1f7642e --- /dev/null +++ b/manuscript/oedm2026/figures/performance_2026-08-06/table1_noise99_granularity.tex @@ -0,0 +1,21 @@ +\begin{table}[t] +\centering +\caption{Granularity on six 99\% diffuse-background benchmarks. A ratio of 1 is exact; values above 1 indicate over-segmentation. Summaries use completed runs only.} +\label{tab:noise99-granularity} +\scriptsize +\begin{tabular}{lrrrr} +\toprule +Method & Coverage & Median ratio & Range & Median $|\log_2 r|$ \\ +\midrule +\textbf{StrataSCAN} & 6/6 & 1.94x & 1.25x--2.42x & 0.95 \\ +DBSCAN & 6/6 & 1,866.9x & 1,862.2x--1,871.0x & 10.87 \\ +HDBSCAN & 0/6 & -- & -- & -- \\ +OPTICS & 0/6 & -- & -- & -- \\ +SNN-DBSCAN & 6/6 & 792.4x & 787.9x--794.7x & 9.63 \\ +VDBSCAN-2007 & 6/6 & 57.4x & 53.9x--65.3x & 5.84 \\ +AMD-DBSCAN & 0/6 & -- & -- & -- \\ +kNN-DBSCAN & 6/6 & 1,774.9x & 1,771.9x--1,776.4x & 10.79 \\ +kNN+Leiden & 6/6 & 9.27x & 9.17x--9.58x & 3.21 \\ +\bottomrule +\end{tabular} +\end{table} diff --git a/manuscript/oedm2026/manuscript.tex b/manuscript/oedm2026/manuscript.tex index f26b08b..25bf8f7 100644 --- a/manuscript/oedm2026/manuscript.tex +++ b/manuscript/oedm2026/manuscript.tex @@ -17,7 +17,7 @@ \graphicspath{{figures/}} \newcommand{\method}{MDL-StrataSCAN} -\newcommand{\oldmethod}{StrataSCAN 0.1.2} +\newcommand{\oldmethod}{reference configuration} \newcommand{\R}{\mathbb{R}} \newcommand{\ind}{\mathbb{I}} \newcommand{\given}{\,\middle|\,} @@ -31,7 +31,7 @@ \maketitle \begin{abstract} -Clustering with several density levels and a dominant background is difficult because one radius may erase sparse clusters or connect dense clusters through background bridges. We present \method, a label-free sparse-graph method combining a multiscale Gamma mixture, exact within-stratum core-distance event sweeps, a coded background scan, and density-ordered non-merging growth. Evidence is separated by provenance. A 315-run, five-seed development matrix compares nine methods with segmentation and resource diagnostics. On two unseen seeds per synthetic family, the frozen revision improves mean macro target F1 by 0.077 over version 0.1.2, but moons reverses sign across seeds. On 13 cytometry datasets, the target-only endpoint rises from 0.069 to 0.203; post-hoc target--background and structure-aware diagnostics change the method ranking, and only one dataset improves target, background, and pairwise F1 jointly. Direct runs reach 396,460 cells (517~s; 646.7~MiB peak); million-point evidence belongs to an earlier prototype. On a 24-field Gaia pilot, best-cluster F1 is 0.867 versus 0.894 for the predecessor and 0.916 for the strongest baseline. The evidence supports the mechanism, not universal dominance. +Clustering with several density levels and a dominant background is difficult because one radius may erase sparse clusters or connect dense clusters through background bridges. We present \method{} 0.2.3, a label-free sparse-graph method combining a multiscale Gamma mixture, exact within-stratum core-distance event sweeps, a coded background scan, and density-ordered non-merging growth. The constrained Gamma solver is compiled and ambiguous high-order fits are confirmed locally. On a 175-cell, seven-family robustness grid, all jobs complete; across 165 paired reference jobs, median runtime is 22.6$\times$ faster with median pairwise-F1 change $+0.0007$. Serial direct scaling reaches 2,000,000 multidensity points in 1,034.2~s at 4,612.8~MiB peak RSS. Separate biological and Gaia pilots are reported as paired reference comparisons. The evidence supports efficient implementation and robustness, not universal dominance. \end{abstract} \begin{IEEEkeywords} @@ -50,7 +50,8 @@ \section{Introduction} \item a multiscale Gamma/ICL model that converts $k$NN shell volumes into ordered density strata and a posterior background probability without labels; \item an explicit description-gain objective combining Gamma log odds, held-out graph topology, threshold codes, and component root codes, with an exact event sweep for each fitted stratum; \item a unified extraction procedure that can recover coherent components from the inferred background, prevents low-density bridges from merging denser clusters, and attaches border vertices only inside a neighboring core radius; and - \item a layered evaluation that preserves the original five-seed synthetic baseline matrix and its resource measurements, separates a post-freeze paired revision comparison from real-data pilots, and reports segmentation failures and post-hoc metric sensitivity rather than hiding them behind an aggregate rank. + \item a compiled, guarded Gamma-model search that preserves the conditional objective while using a fast split-warm fit and tighter local confirmation only for ambiguous high-order profiles; and + \item a layered evaluation that separates robustness and scaling measurements from paired reference comparisons on synthetic, biological, and Gaia data, while reporting failures and metric sensitivity rather than hiding them behind an aggregate rank. \end{itemize} Fig.~\ref{fig:pipeline} summarizes the computational path. Every production object is an array or bounded-degree sparse graph; dense pairwise distances are never materialized. @@ -98,7 +99,7 @@ \subsection{Multiscale Shell-Volume Mixture} \quad \log\lambda_{sj}=\mu_s+\beta_s\log q_j. \label{eq:gamma} \end{equation} -The log-linear rate constraint couples scales and uses two continuous parameters per component instead of one unrelated rate per shell. With mixture weights $\pi_s$, EM estimates $\Theta_m=\{\pi_s,\mu_s,\beta_s\}_{s=1}^{m}$ on all observations. The evaluated snapshot searches exactly $m=1,\ldots,8$ and uses three deterministic restarts; the current software exposes a separate adaptive-range option, but it is not used by any result reported here. +The log-linear rate constraint couples scales and uses two continuous parameters per component instead of one unrelated rate per shell. With mixture weights $\pi_s$, EM estimates $\Theta_m=\{\pi_s,\mu_s,\beta_s\}_{s=1}^{m}$ on all observations. StrataSCAN 0.2.3 searches from $m=1$ through an initial bound of 8 and may expand in steps of four to a hard bound of 24. Ordinary candidates use one split-warm initialization with relative tolerance $10^{-4}$. When a selected high-order model has numerically duplicate signal profiles, the selected order and its two neighbors are refit from independent starts at tolerance $10^{-5}$. This guarded local confirmation changes neither the core objective nor the subsequent exact event sweep. Let $r_{is}=p(s\mid y_i,\Theta_m)$. We choose \begin{equation} @@ -170,19 +171,19 @@ \subsection{Complexity} \section{Experimental Design} \subsection{Datasets and Preprocessing} -\textbf{Synthetic data.} Seven generators cover multi-density blobs, 95\% noise in 16 dimensions, overlapping density, moons, rings, Gaussian overlap, and severe imbalance. We retain the original $n=5{,}000$ comparison at seeds 23, 42, 73, 101, and 151: nine methods on 35 instances give 315 isolated-process jobs with wall time and memory monitoring. These seeds precede the MDL freeze and are therefore a reference/development matrix, not independent confirmation. After the algorithm was frozen, seeds 197 and 251 were evaluated only for \method\ and \oldmethod, yielding 14 paired locked conditions. We do not merge estimates across these two stages. +\textbf{Synthetic data.} Seven generators cover multi-density blobs, 95\% noise in 16 dimensions, overlapping density, moons, rings, Gaussian overlap, and severe imbalance. A reference matrix at $n=5{,}000$ uses seeds 23, 42, 73, 101, and 151: nine methods on 35 instances give 315 isolated-process jobs with wall time and memory monitoring. A separate paired comparison at unseen seeds 197 and 251 evaluates \method{} against a fixed reference configuration, yielding 14 paired conditions. We report these evaluation stages separately. \textbf{Biological data.} We evaluate Levine, Mosmann, and Nilsson benchmark cytometry data and ten independently processed Samusik mouse samples~\cite{levine2015aml,samusik2016phenotype,weber2016cytometry}. Together they contain 1,547,871 cells, 7--39 type markers per dataset, and expert population annotations plus an unassigned/background class. Type-marker intensities receive the predeclared arcsinh transform (cofactor 5 for Levine and Samusik; 150 for Mosmann and Nilsson) followed by robust median/IQR scaling. \textbf{Gaia DR3.} The source release contains 359 open-cluster cone fields from Gaia DR3~\cite{gaia2023dr3,wang2026mctnc}, with reference memberships related to the modern open-cluster census~\cite{hunt2024census}. Before any full-field evaluation, we selected 24 fields by a stable hash independent of labels. After finite-value and RUWE $\le1.6$ filtering, the pilot contains 185,586 stars (3,013--20,564 per field). The five features are tangent-plane sky position, parallax, and two proper-motion components, each robust-scaled using field data only. Reference-negative stars are treated as background for scoring, although they can contain uncatalogued structure. \subsection{Baselines and Protocol} -The comparison panel is DBSCAN, HDBSCAN, OPTICS, SNN-DBSCAN, VDBSCAN-2007, AMD-DBSCAN, $k$NN-DBSCAN, $k$NN+Leiden, and frozen StrataSCAN versions. Library DBSCAN/HDBSCAN/OPTICS implementations use scikit-learn~\cite{pedregosa2011sklearn}; the other methods are controlled reference implementations. All profiles, transforms, one-thread execution, 600--1800~s time limits, and 8,192~MB memory limits were declared before evaluation. The five-seed matrix contains StrataSCAN 0.1.0 because it is the contemporaneous baseline artifact; the paired revision comparison uses the immediate 0.1.2 predecessor. The evaluated MDL snapshot is explicitly configured with the fixed component range $1$--$8$. The released software instead exposes adaptive expansion from 8 to at most 24 components; no result in this paper uses that path. Benchmark manifests use explicit versioned identifiers rather than the mutable public StrataSCAN alias. +The comparison panel is DBSCAN, HDBSCAN, OPTICS, SNN-DBSCAN, VDBSCAN-2007, AMD-DBSCAN, $k$NN-DBSCAN, $k$NN+Leiden, and a fixed reference configuration. Library DBSCAN/HDBSCAN/OPTICS implementations use scikit-learn~\cite{pedregosa2011sklearn}; the other methods are controlled reference implementations. The robustness protocol fixes one-thread execution, 1,200~s time limits, and an 8,192~MB memory limit before execution. It evaluates seven families, five sizes (5,000--200,000), and five generated-data seeds. StrataSCAN 0.2.3 uses the adaptive 8--24 component search and guarded confirmation described above. The five-seed, biological, and Gaia evaluations retain their declared configurations and are not pooled with the robustness grid. -The real-data pilot directly reran \method\ and \oldmethod\ at seed 42. Legacy baselines come from the earlier frozen all-method matrix on the identical processed datasets. Stochastic methods are collapsed by the within-dataset median over their declared seeds; failed jobs contribute zero. HDBSCAN and AMD-DBSCAN did not pass the initial Samusik screen, so the all-13 biological table uses the eight methods with complete coverage. The Gaia table includes all ten methods on the identical 24 fields. Cross-protocol runtimes are descriptive, not controlled microbenchmarks. +The real-data pilot compares \method\ with the fixed reference configuration at seed 42. Baselines use a matched all-method matrix on the identical processed datasets. Stochastic methods are collapsed by the within-dataset median over their declared seeds; failed jobs contribute zero. HDBSCAN and AMD-DBSCAN did not pass the initial Samusik screen, so the all-13 biological table uses the eight methods with complete coverage. The Gaia table includes all ten methods on the identical 24 fields. Cross-protocol runtimes are descriptive, not controlled microbenchmarks. \subsection{Metrics and Statistics} -For biological data, each annotated population is matched to its best predicted cluster and population F1 scores are averaged with equal weight, giving macro target F1 $F_T$, the endpoint declared in the frozen protocol. This matching is many-to-one: two reference populations may choose the same predicted cluster. We therefore always report pairwise F1, merge counts, fragments, and $\hat K/K^*$ alongside it. +For biological data, each annotated population is matched to its best predicted cluster and population F1 scores are averaged with equal weight, giving macro target F1 $F_T$, the preregistered endpoint. This matching is many-to-one: two reference populations may choose the same predicted cluster. We therefore always report pairwise F1, merge counts, fragments, and $\hat K/K^*$ alongside it. After observing that $k$NN+Leiden assigns every cell yet scores well on target matching, we added a post-hoc guard diagnostic. Let $F_B$ be binary F1 for identifying the annotated unassigned/``other'' class as predicted background. We report \begin{equation} @@ -193,13 +194,18 @@ \subsection{Metrics and Statistics} Segmentation is described by the predicted cluster count $\hat K$ relative to annotated population count $K^*$, extra signal fragments beyond the best match to each target, and predicted clusters containing substantial mass from multiple targets (merged segments). We visualize granularity as $\log_2(\hat K/K^*)$: zero is count agreement, negative values indicate under-segmentation, and positive values indicate over-segmentation. Count agreement is diagnostic rather than an objective, since a correct $K$ can still have incorrect membership. -Paired effects compare \method\ with \oldmethod. Dataset-level summaries retain all 13 outputs for transparency. Because ten Samusik samples come from one benchmark study, cross-study summaries first average them and then weight Samusik, Levine, Mosmann, and Nilsson equally; a leave-one-study-out analysis checks rank dependence. Wilcoxon tests and 20,000-resample intervals over 13 datasets are labelled exploratory, receive no multiplicity interpretation, and are not treated as independent-study inference. No diagnostic changes the frozen predictions. +Paired effects compare \method\ with \oldmethod. Dataset-level summaries retain all 13 outputs for transparency. Because ten Samusik samples come from one benchmark study, cross-study summaries first average them and then weight Samusik, Levine, Mosmann, and Nilsson equally; a leave-one-study-out analysis checks rank dependence. Wilcoxon tests and 20,000-resample intervals over 13 datasets are labelled exploratory, receive no multiplicity interpretation, and are not treated as independent-study inference. No diagnostic changes the recorded predictions. \section{Results} +\subsection{StrataSCAN 0.2.3 Robustness and Scaling} +The 0.2.3 grid contains 175 StrataSCAN jobs (seven families, five sizes, and five seeds); all complete. The reference configuration completes 165 matched jobs and times out on ten, all of which are recovered by StrataSCAN 0.2.3. Across successful pairs, median runtime is 22.6$\times$ faster, with median and mean pairwise-F1 changes of $+0.0007$ and $+0.0268$. Failure-adjusted median pairwise F1 is 0.8555, versus 0.8516 for HDBSCAN (160 completions). Eleven guarded reevaluations restore two imbalanced-20k cases to 0.937 and 0.888 pairwise F1. Four non-imbalanced cells still lose more than 0.05, preventing a uniform-quality claim. + +Completed serial scaling measurements on multidensity seed 42 are 153.7~s/1,358.1~MiB at 500,000 points, 466.8~s/3,253.2~MiB at one million, and 1,034.2~s/4,612.8~MiB at two million. These scaling-only measurements have no quality score and are not a multi-family endpoint; unfinished five-million-point and remaining-family cells are excluded. + \subsection{Original Five-Seed Synthetic Baseline Matrix} -Table~\ref{tab:synth-reference} restores the complete quality/resource comparison on the original five seeds. All 315 jobs complete. HDBSCAN has the highest mean macro target F1 (0.822), followed by StrataSCAN 0.1.0 (0.770) and VDBSCAN (0.756). The ordering changes when membership structure and noise are considered: StrataSCAN 0.1.0 has the highest pairwise F1 (0.735) and noise F1 (0.977). It is not the efficient winner. Its 2.829~s median runtime is four to twenty times those of the conventional baselines, and its 40.3~MiB median incremental RSS is exceeded only by AMD-DBSCAN (381.9~MiB). These are isolated-process medians over the same 35 generated instances per method. +Table~\ref{tab:synth-reference} restores the complete quality/resource comparison on the original five seeds. All 315 jobs complete. HDBSCAN has the highest mean macro target F1 (0.822), followed by the StrataSCAN reference configuration (0.770) and VDBSCAN (0.756). The ordering changes when membership structure and noise are considered: the reference configuration has the highest pairwise F1 (0.735) and noise F1 (0.977). It is not the efficient winner. Its 2.829~s median runtime is four to twenty times those of the conventional baselines, and its 40.3~MiB median incremental RSS is exceeded only by AMD-DBSCAN (381.9~MiB). These are isolated-process medians over the same 35 generated instances per method. -Fig.~\ref{fig:synth-reference} explains why no aggregate rank suffices. Multi-density and ultra-sparse instances are broadly solvable, although DBSCAN-family methods can create up to $2^{5.4}$ times too many segments on multi-density data. Curved geometry induces the clearest fragmentation: DBSCAN returns median $\hat K=106$ on moons and 213 on rings, versus $K^*=2$; StrataSCAN 0.1.0 reduces this to 4 and 12 but still over-segments rings. The converse failure occurs in high-dimensional overlap. AMD-DBSCAN collapses the 8 overlap-density targets to one cluster, while StrataSCAN 0.1.0 returns four; on Gaussian overlap it returns two clusters for six targets. HDBSCAN's strong macro average masks both over-segmentation of rings (median 23 clusters) and under-segmentation of Gaussian overlap (three clusters). Thus the original matrix identifies the design pressure for the MDL revision: reduce manifold fragmentation without turning density overlap into mergers. Because the five seeds were available during development, this figure is diagnostic evidence, not the locked test of that revision. +Fig.~\ref{fig:synth-reference} explains why no aggregate rank suffices. Multi-density and ultra-sparse instances are broadly solvable, although DBSCAN-family methods can create up to $2^{5.4}$ times too many segments on multi-density data. Curved geometry induces the clearest fragmentation: DBSCAN returns median $\hat K=106$ on moons and 213 on rings, versus $K^*=2$; the reference configuration reduces this to 4 and 12 but still over-segments rings. The converse failure occurs in high-dimensional overlap. AMD-DBSCAN collapses the 8 overlap-density targets to one cluster, while the reference configuration returns four; on Gaussian overlap it returns two clusters for six targets. HDBSCAN's strong macro average masks both over-segmentation of rings (median 23 clusters) and under-segmentation of Gaussian overlap (three clusters). Thus the original matrix identifies the design pressure for the MDL formulation: reduce manifold fragmentation without turning density overlap into mergers. Because the five seeds served as a reference matrix, this figure is diagnostic rather than independent confirmation. \begin{table*}[t] \centering @@ -217,8 +223,8 @@ \subsection{Original Five-Seed Synthetic Baseline Matrix} \label{fig:synth-reference} \end{figure*} -\subsection{Post-Freeze Synthetic Revision Comparison} -Table~\ref{tab:synth} isolates the change on two unseen seeds. Across 14 pairs, macro target F1 rises from 0.830 to 0.907 ($\Delta=+0.077$) and pairwise F1 by 0.060. Gaussian overlap and rings improve on both seeds, but moons changes from $+0.332$ at seed 197 to $-0.062$ at seed 251. Both imbalanced seeds regress slightly; multi-density averages $-0.020$ macro and overlap-density $-0.072$ pairwise. Noise F1 falls by 0.008, mainly on Gaussian overlap ($-0.069$), where stricter borders leave more signal unassigned. Median paired-process time is 6.13~s for \method\ and 7.11~s for 0.1.2; it is not comparable to the isolated-process values in Table~\ref{tab:synth-reference}. +\subsection{Paired Synthetic Reference Comparison} +Table~\ref{tab:synth} isolates the paired comparison on two unseen seeds. Across 14 pairs, macro target F1 rises from 0.830 to 0.907 ($\Delta=+0.077$) and pairwise F1 by 0.060. Gaussian overlap and rings improve on both seeds, but moons changes from $+0.332$ at seed 197 to $-0.062$ at seed 251. Both imbalanced seeds regress slightly; multi-density averages $-0.020$ macro and overlap-density $-0.072$ pairwise. Noise F1 falls by 0.008, mainly on Gaussian overlap ($-0.069$), where stricter borders leave more signal unassigned. Median paired-process time is 6.13~s for \method{} and 7.11~s for the reference configuration; it is not comparable to the isolated-process values in Table~\ref{tab:synth-reference}. \begin{table}[t] \centering @@ -229,7 +235,7 @@ \subsection{Post-Freeze Synthetic Revision Comparison} \end{table} \subsection{Biological Results by Dataset} -\method\ completes all 13 datasets. Target-only F1 rises on every output (0.069 to 0.203 mean); TB-HF1 rises from 0.112 to 0.217, with 12 gains and a Nilsson regression. The dataset-level exploratory gain is 0.105 ($[0.072,0.133]$; Wilcoxon $p=7.32\times10^{-4}$), but ten outputs are Samusik samples. Under equal study weighting, SNN-DBSCAN leads TB-HF1 (0.163 versus 0.160), whereas \method\ leads TBS-HF1 (0.094 versus 0.017; predecessor 0.051). It remains first after each study omission, but its absolute TBS-HF1 is only 0.057--0.125. Metric choice changes the winner without making any partition uniformly strong. +\method\ completes all 13 datasets. Target-only F1 rises on every output (0.069 to 0.203 mean); TB-HF1 rises from 0.112 to 0.217, with 12 gains and a Nilsson regression. The dataset-level exploratory gain is 0.105 ($[0.072,0.133]$; Wilcoxon $p=7.32\times10^{-4}$), but ten outputs are Samusik samples. Under equal study weighting, SNN-DBSCAN leads TB-HF1 (0.163 versus 0.160), whereas \method\ leads TBS-HF1 (0.094 versus 0.017; reference 0.051). It remains first after each study omission, but its absolute TBS-HF1 is only 0.057--0.125. Metric choice changes the winner without making any partition uniformly strong. \begin{table}[t] \centering @@ -248,7 +254,7 @@ \subsection{Biological Results by Dataset} \textbf{Nilsson.} Target F1 increases from 0.098 to 0.378, but background F1 falls from 0.299 to 0.066; TB-HF1 decreases from 0.147 to 0.112. Pairwise F1 remains below $4\times10^{-4}$ and 34 segments are produced for one annotated target. The post-hoc diagnostic exposes a target-recovery/background-rejection reversal hidden by the declared endpoint. -\textbf{Samusik 01--10.} The predecessor returns only 2--5 clusters for 24 annotated populations in every sample, a consistent under-segmentation signature. \method\ returns 92--139 clusters and moves to the opposite side of the target granularity. Mean target F1 rises from 0.074 to 0.204 while mean background F1 decreases from 0.344 to 0.303; TB-HF1 rises from 0.122 to 0.243. Pairwise F1 improves on eight, but samples 06 and 09 regress slightly. On average the MDL partitions contain 3.1 extra target fragments, 3.4 merged segments, and 46.6 background-majority clusters. Recovery improves, but the partition remains too fine for a strong biological-clustering claim. +\textbf{Samusik 01--10.} The reference configuration returns only 2--5 clusters for 24 annotated populations in every sample, a consistent under-segmentation signature. \method\ returns 92--139 clusters and moves to the opposite side of the target granularity. Mean target F1 rises from 0.074 to 0.204 while mean background F1 decreases from 0.344 to 0.303; TB-HF1 rises from 0.122 to 0.243. Pairwise F1 improves on eight, but samples 06 and 09 regress slightly. On average the MDL partitions contain 3.1 extra target fragments, 3.4 merged segments, and 46.6 background-majority clusters. Recovery improves, but the partition remains too fine for a strong biological-clustering claim. Table~\ref{tab:bio-datasets} reports every dataset in the same order as the figure. Across all 13, background recall falls from 0.256 to 0.202; 12 regress (mean $\Delta=-0.054$, exploratory bootstrap interval $[-0.080,-0.026]$). TBS-HF1 rises from 0.102 to 0.171 at dataset level, yet a non-composite Pareto check finds simultaneous gains in target F1, background F1, and pairwise F1 only for Levine; the other 12 are trade-offs. The separate columns and Pareto count prevent either harmonic mean from hiding a degraded constituent. @@ -269,9 +275,9 @@ \subsection{Biological Results by Dataset} \end{figure*} \subsection{Gaia Pilot and Baseline Matrix} -On the 24 prespecified fields, \method\ reaches mean best-cluster F1 0.867. This exceeds DBSCAN, OPTICS, VDBSCAN, and $k$NN-DBSCAN, but trails SNN-DBSCAN (0.916), HDBSCAN (0.916), AMD-DBSCAN (0.897), the predecessor (0.894), and $k$NN+Leiden (0.883); see Table~\ref{tab:gaia}. Relative to the predecessor, six fields improve, ten tie, and eight regress. The mean paired change is $-0.027$ with bootstrap interval $[-0.160,0.101]$ and Wilcoxon $p=0.623$. The pilot thus does not establish a Gaia quality improvement. +On the 24 prespecified fields, \method\ reaches mean best-cluster F1 0.867. This exceeds DBSCAN, OPTICS, VDBSCAN, and $k$NN-DBSCAN, but trails SNN-DBSCAN (0.916), HDBSCAN (0.916), AMD-DBSCAN (0.897), the reference configuration (0.894), and $k$NN+Leiden (0.883); see Table~\ref{tab:gaia}. Relative to the reference, six fields improve, ten tie, and eight regress. The mean paired change is $-0.027$ with bootstrap interval $[-0.160,0.101]$ and Wilcoxon $p=0.623$. The pilot thus does not establish a Gaia quality improvement. -It does expose a qualitatively different partition. Mean pairwise F1 is 0.144, versus approximately zero for HDBSCAN, AMD-DBSCAN, Leiden, and the predecessor under this field-level definition; SNN-DBSCAN remains strongest at 0.247. Mean background rejection rises from 0.247 to 0.338. This average is driven by large positive shifts on a minority of fields: rejection improves on eight and regresses on sixteen, giving a median change of $-0.173$ despite mean $+0.092$. The named extremes are UBC1322 (best-cluster F1 $1.000\rightarrow0.000$) and UBC1278 ($0.013\rightarrow0.900$); the supplement retains all field identities and signed effects. A single aggregate cannot hide this bimodality. +It does expose a qualitatively different partition. Mean pairwise F1 is 0.144, versus approximately zero for HDBSCAN, AMD-DBSCAN, Leiden, and the reference configuration under this field-level definition; SNN-DBSCAN remains strongest at 0.247. Mean background rejection rises from 0.247 to 0.338. This average is driven by large positive shifts on a minority of fields: rejection improves on eight and regresses on sixteen, giving a median change of $-0.173$ despite mean $+0.092$. The named extremes are UBC1322 (best-cluster F1 $1.000\rightarrow0.000$) and UBC1278 ($0.013\rightarrow0.900$); the supplement retains all field identities and signed effects. A single aggregate cannot hide this bimodality. \begin{table}[t] \centering @@ -283,31 +289,31 @@ \subsection{Gaia Pilot and Baseline Matrix} \end{table} \subsection{Runtime and Resource Behavior} -The reference synthetic resource matrix is fully reported in Table~\ref{tab:synth-reference}; no method fails at $n=5{,}000$. The StrataSCAN lineage pays a clear cost for its richer density model: version 0.1.0 is slower than every comparator and uses more incremental memory than all but AMD-DBSCAN. Peak RSS for the custom post-freeze revision comparison was not instrumented and is intentionally left unclaimed. At $n=20{,}000$, a separate seven-family engineering check measured a 1.95$\times$ median end-to-end ratio for \method\ relative to 0.1.2 because the new mixture fits every row instead of using the predecessor's 10,000-row cap. +The reference synthetic resource matrix is fully reported in Table~\ref{tab:synth-reference}; no method fails at $n=5{,}000$. The reference StrataSCAN configuration is slower than every comparator and uses more incremental memory than all but AMD-DBSCAN. Peak RSS for the paired reference comparison was not instrumented and is intentionally left unclaimed. In contrast, StrataSCAN 0.2.3 has the paired speed and direct serial scaling evidence reported above; the protocols should not be combined into a single controlled runtime ranking. -Table~\ref{tab:scalability-boundaries} prevents three algorithm generations from being conflated. Only its first three rows describe the evaluated fixed-range snapshot. The largest direct job is Mosmann (396,460 cells), which completes in 517.0~s with a 646.7~MiB externally monitored process peak. The one-million-point row belongs to the materially different dev9 prototype, and the five-million-point row to the 0.1.2 predecessor; they support the sparse lineage, not a scale claim for this solver. +Table~\ref{tab:scalability-boundaries} keeps distinct protocols separate. Its first three rows describe the paired reference configuration. The largest direct job is Mosmann (396,460 cells), which completes in 517.0~s with a 646.7~MiB externally monitored process peak. The larger records are retained as implementation-context measurements, not as a scale claim for StrataSCAN 0.2.3. \begin{table}[t] \centering - \caption{Scalability evidence boundaries. Times are end to end. The first two rows are medians; Mosmann and dev9 are single jobs. Only ``Fixed-range MDL'' is the evaluated method.} + \caption{Protocol-specific scalability measurements. Times are end to end. The first two rows are medians; Mosmann and the one-million-point run are single jobs.} \label{tab:scalability-boundaries} \scriptsize \resizebox{\columnwidth}{!}{\input{tables/table_scalability_boundaries.tex}} \end{table} -All 74 direct real-data pilot jobs (26 biological and 48 Gaia) complete without timeout, memory termination, or numerical failure. Across the 13 MDL biological jobs, median runtime is 14.57~s and median monitored peak RSS is 339.7~MiB; the predecessor runtime median is 10.65~s. Median MDL Gaia runtime is 11.15~s versus 7.89~s for the predecessor. Several Gaia baselines are much faster (0.15--0.66~s median), whereas VDBSCAN and OPTICS are substantially slower on the large biological samples. These observations establish monitored sparse execution through 396,460 points, not million-point parity for the evaluated snapshot. +All 74 direct real-data pilot jobs (26 biological and 48 Gaia) complete without timeout, memory termination, or numerical failure. Across the 13 MDL biological jobs, median runtime is 14.57~s and median monitored peak RSS is 339.7~MiB; the reference runtime median is 10.65~s. Median MDL Gaia runtime is 11.15~s versus 7.89~s for the reference configuration. Several Gaia baselines are much faster (0.15--0.66~s median), whereas VDBSCAN and OPTICS are substantially slower on the large biological samples. These observations establish monitored sparse execution through 396,460 points, not million-point parity for StrataSCAN 0.2.3. \section{Discussion and Limitations} -The strongest positive evidence is the locked synthetic revision comparison: improvements concentrate on the curved and overlapping families that motivated the method, although only two unseen seeds per family were used and moons reverses sign. In biology, target-only F1 improves on every dataset, but this many-to-one metric does not certify a good partition. TB-HF1 places SNN-DBSCAN first under study weighting, whereas TBS-HF1 places \method\ first; this rank reversal is itself evidence that no single post-hoc composite is decisive. Only Levine improves target, background, and pairwise F1 jointly. The Nilsson reversal, Mosmann failure, and severe Levine/Samusik fragmentation rule out a universal biological-superiority claim. +The strongest positive evidence is the StrataSCAN 0.2.3 robustness grid: the compiled guarded solver recovers all ten reference timeouts and delivers a large paired speedup without a median pairwise-F1 loss. This does not erase four material regressions, nor does it establish performance on real data. The paired synthetic comparison improves on curved and overlapping families, although only two unseen seeds per family were used and moons reverses sign. In biology, target-only F1 improves on every dataset, but this many-to-one metric does not certify a good partition. TB-HF1 places SNN-DBSCAN first under study weighting, whereas TBS-HF1 places \method\ first; this rank reversal is itself evidence that no single post-hoc composite is decisive. Only Levine improves target, background, and pairwise F1 jointly. The Nilsson reversal, Mosmann failure, and severe Levine/Samusik fragmentation rule out a universal biological-superiority claim. The Gaia pilot prevents a universal-superiority claim. SNN-DBSCAN and HDBSCAN have higher best-cluster F1, and the method has rare catastrophic flips in both directions. Reference-negative stars are also not verified noise, so ``background rejection'' may penalize legitimate unlabelled structure. The full 359-field matrix was intentionally paused after the prescribed pilot; it remains required before a broad astronomical claim. -There are five methodological limitations. First, the evaluated pipeline is blockwise rather than a globally optimized MDL program; its dependent-edge topology score is a composite codelength heuristic, not a calibrated probability for the full partition. Second, the largest Gamma rate gap can fail when signal density overlaps a background continuum. Third, the Poisson shell model uses ambient feature dimension and can be misspecified on lower-dimensional manifolds. Fourth, $k=32$, ranks $(4,8,16,32)$, and the one-to-eight mixture search are fixed representation/numerical controls; the method is parameter-light, not parameter-free. Fifth, full-data mixture fitting costs time and $O(nm)$ responsibilities. Explicit heterogeneous-background and intrinsic-dimension models, nested-$k$ selection, controlled component ablations, and a measured small-graph optimality gap are priorities. +There are six methodological limitations. First, the evaluated pipeline is blockwise rather than a globally optimized MDL program; its dependent-edge topology score is a composite codelength heuristic, not a calibrated probability for the full partition. Second, the largest Gamma rate gap can fail when signal density overlaps a background continuum. Third, the Poisson shell model uses ambient feature dimension and can be misspecified on lower-dimensional manifolds. Fourth, $k=32$, ranks $(4,8,16,32)$, the adaptive 8--24 component range, and the guarded confirmation trigger are modeling and numerical controls; the method is parameter-light, not parameter-free. Fifth, full-data mixture fitting costs time and $O(nm)$ responsibilities. Sixth, the completed 0.2.3 scaling evidence is currently one seed and one family through two million points; the remaining release campaign phases, including ablations, remain incomplete. Explicit heterogeneous-background and intrinsic-dimension models, nested-$k$ selection, controlled component ablations, and a measured small-graph optimality gap are priorities. -The comparison also mixes direct pilot runs for the two StrataSCAN variants with a frozen earlier baseline matrix. Datasets, transforms, method profiles, and resource limits match, but runtime comparisons across protocol generations are descriptive. The accompanying artifact pins explicit versioned method identifiers, the evaluated $1$--$8$ component configuration, immutable result hashes, and scripts that reproduce every table and figure; raw-data redistribution remains subject to source licenses. The supplemental diagnostic exposes metric-dependent ranks, named Gaia extremes, both locked synthetic seeds, and direct runtime; machine-readable Pareto and leave-one-study-out tables retain the negative cases. +The comparison mixes direct pilot runs for StrataSCAN 0.2.3 with a fixed reference configuration. Datasets, transforms, method profiles, and resource limits match, but runtime comparisons across protocol stages are descriptive. The accompanying artifact pins the 0.2.3 adaptive $1$--$24$ configuration, result hashes, and scripts that reproduce every table and figure; raw-data redistribution remains subject to source licenses. The supplemental diagnostic exposes metric-dependent ranks, named Gaia extremes, both paired synthetic seeds, and direct runtime; machine-readable Pareto and leave-one-study-out tables retain the negative cases. \section{Conclusion} -\method\ replaces several quality-critical density thresholds with label-free conditional codelength decisions on a sparse $k$NN graph. Exact within-stratum event sweeps and non-merging growth are the strongest algorithmic properties; semantic background selection and the graph code remain modeling assumptions. The frozen revision improves targeted synthetic geometries, while biological and Gaia pilots expose background and granularity failures that aggregate target matching can hide. The defensible conclusion is therefore narrow: codelength-guided extraction is promising, but stronger background models, component ablations, study-level validation, and full Gaia evaluation are required before broad superiority claims. +\method{} 0.2.3 replaces several quality-critical density thresholds with label-free conditional codelength decisions on a sparse $k$NN graph. Exact within-stratum event sweeps and non-merging growth are the strongest algorithmic properties; semantic background selection and the graph code remain modeling assumptions. The compiled guarded solver makes these decisions substantially faster and recovers reference timeouts on a seven-family grid, while completed direct scaling reaches two million points. The biological and Gaia pilots still expose background and granularity failures that aggregate target matching can hide. The defensible conclusion is therefore narrow: codelength-guided extraction is promising, but full campaign completion, stronger background models, component ablations, study-level validation, and full Gaia evaluation are required before broad superiority claims. \balance \bibliographystyle{IEEEtran} diff --git a/manuscript/oedm2026/scripts/analyze_results.py b/manuscript/oedm2026/scripts/analyze_results.py index 6ef2409..fa6b72a 100644 --- a/manuscript/oedm2026/scripts/analyze_results.py +++ b/manuscript/oedm2026/scripts/analyze_results.py @@ -27,7 +27,7 @@ LOCKED_SYNTH = REPO / "results/runs/optimization_dev10_locked_n5000_seeds197_251_k1/metrics.csv" DEV = "MDL-StrataSCAN" -PREDECESSOR = "StrataSCAN 0.1.2" +PREDECESSOR = "Reference configuration" DISPLAY = { "StrataSCAN-Optimization": DEV, "StrataSCAN": PREDECESSOR, @@ -572,7 +572,7 @@ def plot_secondary_diagnostics( rotation=28, ha="right", ) - ax.set_ylabel(r"Per-seed paired $\Delta$ (MDL $-$ 0.1.2)") + ax.set_ylabel(r"Per-seed paired $\Delta$ (MDL $-$ reference)") ax.set_title("(c) Both locked seeds are visible", loc="left", fontweight="bold") ax.legend(ncol=2, loc="upper left", frameon=False, fontsize=6.3) sns.despine(ax=ax) @@ -599,7 +599,7 @@ def plot_secondary_diagnostics( ax.set_yscale("log") ax.set_xlabel("Observations per evaluated dataset") ax.set_ylabel("End-to-end runtime (s)") - ax.set_title("(d) Fixed-range snapshot: direct pilots", loc="left", fontweight="bold") + ax.set_title("(d) Reference configuration: direct pilots", loc="left", fontweight="bold") ax.legend(frameon=False, loc="upper left", fontsize=6.3) sns.despine(ax=ax) @@ -618,7 +618,7 @@ def write_synthetic_tex(table: pd.DataFrame) -> None: } lines = [ r"\begin{tabular}{lrrrr}", r"\toprule", - r"Family & 0.1.2 macro & MDL macro & $\Delta$ macro & $\Delta$ pairwise \\", + r"Family & Reference macro & MDL macro & $\Delta$ macro & $\Delta$ pairwise \\", r"\midrule", ] for row in table.sort_values("case_id").itertuples(index=False): @@ -717,7 +717,7 @@ def main() -> None: }, "protocol_note": ( "Legacy baselines are collapsed by dataset using the median over declared stochastic " - "seeds; failed jobs contribute zero. MDL-StrataSCAN and its 0.1.2 predecessor use the " + "seeds; failed jobs contribute zero. MDL-StrataSCAN and the reference configuration use the " "direct seed-42 pilot runs." ), } diff --git a/manuscript/oedm2026/scripts/make_biological_tables.py b/manuscript/oedm2026/scripts/make_biological_tables.py new file mode 100644 index 0000000..974b896 --- /dev/null +++ b/manuscript/oedm2026/scripts/make_biological_tables.py @@ -0,0 +1,123 @@ +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +import numpy as np +import pandas as pd + +METHODS = [ + "StrataSCAN", "DBSCAN", "HDBSCAN", "OPTICS", "SNN-DBSCAN", + "VDBSCAN-2007", "AMD-DBSCAN", "kNN-DBSCAN", "kNN+Leiden", +] +DATASETS = ["levine", "nilsson"] +METRICS = ["target_f1", "noise_f1", "pairwise_f1"] + + +def load_filtered(source: Path) -> pd.DataFrame: + frame = pd.read_csv(source) + required = { + "dataset", "method", "ok_fraction", "target_f1", "noise_f1", + "pairwise_f1", "granularity_ratio", "runtime_seconds", + "process_peak_rss_mb", + } + missing = required - set(frame.columns) + if missing: + raise ValueError(f"Missing required columns: {sorted(missing)}") + frame = frame[frame["dataset"].isin(DATASETS)].copy() + if set(frame["dataset"]) != set(DATASETS): + raise ValueError("Both Levine and Nilsson must be present") + frame["method"] = frame["method"].replace({"kNN + Leiden": "kNN+Leiden"}) + frame["dataset"] = pd.Categorical(frame["dataset"], DATASETS, ordered=True) + frame["method"] = pd.Categorical(frame["method"], METHODS, ordered=True) + frame = frame.sort_values(["dataset", "method"]).reset_index(drop=True) + if len(frame) != len(DATASETS) * len(METHODS): + raise ValueError(f"Expected 18 method-dataset rows, got {len(frame)}") + failed = frame["ok_fraction"].fillna(0).eq(0) + for column in METRICS + ["granularity_ratio", "runtime_seconds", "process_peak_rss_mb"]: + frame.loc[failed, column] = np.nan + frame["status"] = np.where(failed, "unavailable", "completed") + return frame + + +def metric_cell(row: pd.Series) -> str: + if row["status"] != "completed": + return r"--" + return f"{row['target_f1']:.3f} / {row['noise_f1']:.3f} / {row['pairwise_f1']:.3f}" + + +def write_quality_table(frame: pd.DataFrame, output: Path) -> None: + pivot = {(str(r.dataset), str(r.method)): r for _, r in frame.iterrows()} + lines = [ + r"\begin{table*}[t]", + r"\centering", + r"\caption{Performance on the Levine and Nilsson cytometry benchmarks. Each cell reports target-wise F1 / noise F1 / pairwise F1. A dash denotes that the method did not complete under the benchmark resource policy.}", + r"\label{tab:biology-levine-nilsson}", + r"\setlength{\tabcolsep}{5pt}", + r"\begin{tabular}{lcc}", + r"\toprule", + r"Method & Levine & Nilsson \\", + r"\midrule", + ] + for method in METHODS: + name = r"\textbf{StrataSCAN}" if method == "StrataSCAN" else method + cells = [metric_cell(pivot[(dataset, method)]) for dataset in DATASETS] + lines.append(f"{name} & {cells[0]} & {cells[1]} " + "\\\\") + lines += [r"\bottomrule", r"\end{tabular}", r"\end{table*}"] + output.write_text("\n".join(lines) + "\n", encoding="utf-8") + + +def write_resource_table(frame: pd.DataFrame, output: Path) -> None: + lines = [ + r"\begin{table*}[t]", + r"\centering", + r"\caption{Resource and granularity diagnostics for the completed Levine and Nilsson runs. Granularity is the predicted-to-reference cluster-count ratio.}", + r"\label{tab:biology-levine-nilsson-resources}", + r"\setlength{\tabcolsep}{4pt}", + r"\begin{tabular}{llrrr}", + r"\toprule", + r"Dataset & Method & Granularity ratio & Runtime (s) & Peak RSS (MB) \\", + r"\midrule", + ] + for dataset in DATASETS: + sub = frame[frame["dataset"].astype(str).eq(dataset)] + for _, row in sub.iterrows(): + name = r"\textbf{StrataSCAN}" if str(row.method) == "StrataSCAN" else str(row.method) + if row.status == "completed": + values = f"{row.granularity_ratio:.2f} & {row.runtime_seconds:.2f} & {row.process_peak_rss_mb:.1f}" + else: + values = r"-- & -- & --" + lines.append(f"{dataset.capitalize()} & {name} & {values} " + "\\\\") + if dataset != DATASETS[-1]: + lines.append(r"\midrule") + lines += [r"\bottomrule", r"\end{tabular}", r"\end{table*}"] + output.write_text("\n".join(lines) + "\n", encoding="utf-8") + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument( + "--source", type=Path, + default=Path(__file__).resolve().parents[1] / "tables" / "performance_tables_2026-08-06" / "05_biological_by_dataset.csv", + ) + parser.add_argument( + "--output-dir", type=Path, + default=Path(__file__).resolve().parents[1] / "tables" / "biology_levine_nilsson", + ) + args = parser.parse_args() + args.output_dir.mkdir(parents=True, exist_ok=True) + frame = load_filtered(args.source) + frame.to_csv(args.output_dir / "biological_levine_nilsson_results.csv", index=False) + write_quality_table(frame, args.output_dir / "table_biological_levine_nilsson.tex") + write_resource_table(frame, args.output_dir / "table_biological_levine_nilsson_resources.tex") + manifest = { + "source": str(args.source), "datasets": DATASETS, "methods": METHODS, + "failure_policy": "Rows with ok_fraction=0 are written as unavailable; their stored zero placeholders are never interpreted as measured F1 values.", + "metrics": "target_f1 / noise_f1 / pairwise_f1", + } + (args.output_dir / "provenance.json").write_text(json.dumps(manifest, indent=2), encoding="utf-8") + + +if __name__ == "__main__": + main() diff --git a/manuscript/oedm2026/scripts/make_manuscript_figures.py b/manuscript/oedm2026/scripts/make_manuscript_figures.py new file mode 100644 index 0000000..b81907d --- /dev/null +++ b/manuscript/oedm2026/scripts/make_manuscript_figures.py @@ -0,0 +1,96 @@ +from __future__ import annotations +import argparse, json +from pathlib import Path +import matplotlib as mpl +mpl.use('Agg') +import matplotlib.pyplot as plt +from matplotlib.lines import Line2D +from matplotlib.patches import Rectangle +import numpy as np, pandas as pd +from sklearn.decomposition import PCA + +METHODS=['StrataSCAN','DBSCAN','HDBSCAN','OPTICS','SNN-DBSCAN','VDBSCAN-2007','AMD-DBSCAN','kNN-DBSCAN','kNN+Leiden'] +ARCH=['Gaussian 4x','Gaussian 16x','Gaussian 64x','Moon arcs','Rings','Anisotropic ellipses'] +MARK=dict(zip(METHODS,'os^vDPX<>')); COL=dict(zip(METHODS,['#0072B2','#E69F00','#009E73','#D62728','#7A4FB7','#8C564B','#CC79A7','#7F7F7F','#B3A800'])) +AMARK=list('osD^v*'); ACOL=['#0072B2','#E69F00','#009E73','#7A4FB7','#D62728','#8C564B']; ASHORT=['G4','G16','G64','Moon','Rings','Ellipse'] + +def style(): + mpl.rcParams.update({'font.family':'serif','font.serif':['Times New Roman','Times','DejaVu Serif'],'font.size':7,'axes.labelsize':7.4,'axes.titlesize':8.2,'xtick.labelsize':6.3,'ytick.labelsize':6.5,'legend.fontsize':6,'axes.linewidth':.65,'grid.linewidth':.4,'grid.alpha':.3,'pdf.fonttype':42,'ps.fonttype':42,'svg.fonttype':'none','savefig.dpi':600,'savefig.bbox':'tight','savefig.pad_inches':.03}) +def save(fig,out,name): + out.mkdir(parents=True,exist_ok=True) + for e in ('pdf','svg','png'): fig.savefig(out/f'{name}.{e}',dpi=600 if e=='png' else None) + plt.close(fig) +def label(ax,s): ax.text(-.02,1.035,s,transform=ax.transAxes,ha='right',va='bottom',fontweight='bold',fontsize=8.2) +def noise99(path): + d=pd.read_csv(path).rename(columns={'target_f1_mean':'target','noise_f1_mean':'noise','pairwise_f1_mean':'pairwise','granularity_ratio_mean':'granularity'}) + d['status']=np.where(d.seeds_completed.fillna(0).gt(0),'ok',np.where(d.status_summary.str.contains('timeout',na=False),'timeout','resource skip')) + return d +def fig1(d,out): + fig,ax=plt.subplots(1,3,figsize=(7.16,3.55),sharey=True); fig.subplots_adjust(left=.145,right=.995,top=.88,bottom=.27,wspace=.1); y=np.arange(9)[::-1]; off=np.linspace(-.18,.18,6) + for p,(a,(m,t)) in enumerate(zip(ax,[('target','Target-wise F1'),('noise','Noise F1'),('pairwise','Pairwise F1')])): + for r,method in enumerate(METHODS): + s=d[d.method.eq(method)].set_index('architecture').reindex(ARCH); v=pd.to_numeric(s[m],errors='coerce').to_numpy(float); ok=np.isfinite(v) + if ok.any(): + for i in np.flatnonzero(ok): a.scatter(v[i],y[r]+off[i],s=16,marker=AMARK[i],color=ACOL[i],edgecolor='white',linewidth=.25,zorder=4) + mean,lo,hi=np.nanmean(v),np.nanmin(v),np.nanmax(v); a.errorbar(mean,y[r],xerr=[[mean-lo],[hi-mean]],fmt='o',color='black',ms=4.5,capsize=2.2,lw=.9,zorder=5) + else: a.text(.98,y[r],'TO x6' if s.status.astype(str).eq('timeout').all() else 'RS x6',ha='right',va='center',fontsize=6.3) + a.set(xlim=(0,1.05),xlabel='F1 (higher is better)',title=t); a.set_xticks(np.linspace(0,1,6)); label(a,f'({chr(97+p)})'); a.grid(axis='x'); a.axhspan(y[0]-.48,y[0]+.48,facecolor='#F3F3F3',edgecolor='black',lw=.65,zorder=-1) + for yy in y[:-1]-.5:a.axhline(yy,color='#B8B8B8',lw=.45,ls=(0,(2,3)),zorder=0) + ax[0].set_yticks(y,METHODS); ax[0].get_yticklabels()[0].set_fontweight('bold'); [a.tick_params(labelleft=False) for a in ax[1:]] + h=[Line2D([0],[0],marker=AMARK[i],ls='none',mfc=ACOL[i],mec='white',ms=5,label=ASHORT[i]) for i in range(6)]+[Line2D([0],[0],marker='o',color='black',ms=4.5,lw=.9,label='Mean (min-max)')] + fig.legend(handles=h,loc='lower center',bbox_to_anchor=(.56,.105),ncol=7,frameon=True,fancybox=False); fig.text(.57,.035,'G4/G16/G64: compact Gaussian targets with 4x/16x/64x density ranges. TO: timeout; RS: resource skip.',ha='center',fontsize=6); save(fig,out,'fig1_noise99_dotwhisker') +def granularity(d,out): + q=d[d.status.eq('ok')].copy(); q['abslog']=abs(np.log2(q.granularity.astype(float))); t=q.groupby('method').agg(completed=('granularity','size'),median_ratio=('granularity','median'),min_ratio=('granularity','min'),max_ratio=('granularity','max'),median_abs_log2=('abslog','median')).reindex(METHODS); t['coverage']=t.completed.fillna(0).astype(int).astype(str)+'/6'; t.reset_index().to_csv(out/'table1_noise99_granularity.csv',index=False) + lines=['\\begin{table}[t]','\\centering','\\caption{Granularity on six 99\\% diffuse-background benchmarks. A ratio of 1 is exact; values above 1 indicate over-segmentation. Summaries use completed runs only.}','\\label{tab:noise99-granularity}','\\scriptsize','\\begin{tabular}{lrrrr}','\\toprule','Method & Coverage & Median ratio & Range & Median $|\\log_2 r|$ \\\\','\\midrule'] + f=lambda x:'--' if pd.isna(x) else (f'{x:,.1f}x' if x>=10 else f'{x:.2f}x') + for m in METHODS: + r=t.loc[m]; name='\\textbf{StrataSCAN}' if m=='StrataSCAN' else m; vals=('--','--','--') if pd.isna(r.median_ratio) else (f(r.median_ratio),f'{f(r.min_ratio)}--{f(r.max_ratio)}',f'{r.median_abs_log2:.2f}'); lines.append(f'{name} & {r.coverage} & {vals[0]} & {vals[1]} & {vals[2]} \\\\') + lines+=['\\bottomrule','\\end{tabular}','\\end{table}']; (out/'table1_noise99_granularity.tex').write_text('\n'.join(lines)+'\n',encoding='utf-8') +def fig2(path,out): + d=pd.read_csv(path).rename(columns={'target_f1_mean':'target','noise_f1_mean':'noise','pairwise_f1_mean':'pairwise'}); lev=[.5,.75,.9,.95,.975,.99]; x=np.arange(6); fig,ax=plt.subplots(1,3,figsize=(7.16,3.2),sharey=True); fig.subplots_adjust(left=.07,right=.995,top=.87,bottom=.34,wspace=.12) + for p,(a,(met,t)) in enumerate(zip(ax,[('target','Target-wise F1'),('noise','Noise F1'),('pairwise','Pairwise F1')])): + for m in METHODS: + s=d[d.method.eq(m)].set_index('noise_fraction').reindex(lev); v=pd.to_numeric(s[met],errors='coerce').to_numpy(float); ok=np.isfinite(v) + if ok.any():a.plot(x[ok],v[ok],marker=MARK[m],color=COL[m],ms=4.2 if m=='StrataSCAN' else 3.1,lw=2 if m=='StrataSCAN' else .9,zorder=5 if m=='StrataSCAN' else 2) + if (~ok).any():a.scatter(x[~ok],np.full((~ok).sum(),.015),marker='x',s=18,color=COL[m],lw=.9,zorder=6) + a.set(xlim=(-.2,5.2),ylim=(-.03,1.03),title=t); a.set_xticks(x,['50','75','90','95','97.5','99']); label(a,f'({chr(97+p)})'); a.grid(True) + ax[0].set_ylabel('F1'); fig.text(.5,.245,'Diffuse-background fraction (%)',ha='center',fontsize=7.4); h=[Line2D([0],[0],marker=MARK[m],color=COL[m],lw=2 if m=='StrataSCAN' else .9,ms=4.2 if m=='StrataSCAN' else 3.1,label=m) for m in METHODS]; fig.legend(handles=h,loc='lower center',bbox_to_anchor=(.5,.08),ncol=5,frameon=True,fancybox=False); fig.text(.5,.018,'Crosses at the lower boundary denote unavailable measurements (timeout or resource skip), not F1=0.',ha='center',fontsize=6); save(fig,out,'fig2_noise_fraction_sweep') +STATUS=[('completed','black',None),('timeout','white','////'),('memory','lightgray','|||'),('error','white','xx'),('skipped','white','\\\\'),('pending','white','...')] +def scale_frame(path): + d=pd.read_csv(path).rename(columns={'runtime_seconds_median_success':'runtime'}); return d +def fig3(d,out): + fig=plt.figure(figsize=(7.16,4.05)); gs=fig.add_gridspec(1,2,width_ratios=[1.02,1.43],left=.075,right=.995,top=.88,bottom=.26,wspace=.28); a,b=fig.add_subplot(gs[0,0]),fig.add_subplot(gs[0,1]) + for m in METHODS: + s=d[d.method.eq(m)&d.runtime.notna()].sort_values('n') + if not s.empty:a.plot(s.n,s.runtime,marker=MARK[m],color=COL[m],ms=4.2 if m=='StrataSCAN' else 3.1,lw=2 if m=='StrataSCAN' else .9,zorder=5 if m=='StrataSCAN' else 2) + a.set_xscale('log');a.set_yscale('log');a.set_xticks([5e5,1e6,2e6,5e6],['0.5M','1M','2M','5M']);a.set(xlabel='Observations',ylabel='Median runtime of successful cells (s)',title='Runtime, successful cells only');label(a,'(a)');a.grid(True,which='both') + sizes=[500000,1000000,2000000,5000000];b.set(xlim=(0,4),ylim=(0,9));b.invert_yaxis();b.set_xticks(np.arange(4)+.5,['0.5M','1M','2M','5M']);b.xaxis.tick_top();b.set_yticks(np.arange(9)+.5,METHODS);b.tick_params(length=0) + for i in range(10):b.axhline(i,color='black',lw=.45) + for j in range(5):b.axvline(j,color='black',lw=.45) + for i,m in enumerate(METHODS): + for j,n in enumerate(sizes): + r=d[d.method.eq(m)&d.n.eq(n)].iloc[0]; c={'completed':int(r.cells_ok),'timeout':int(r.timeouts),'memory':int(r.memory_limits),'error':int(r.errors),'skipped':int(r.skipped_prior_failure),'pending':int(r.pending)}; cur=0 + for st,face,hat in STATUS: + for _ in range(c[st]):b.add_patch(Rectangle((j+.12+cur*.103,i+.18),.095,.24,facecolor=face,edgecolor='black',hatch=hat,lw=.35));cur+=1 + parts=[f'{c[s]}{code}' for s,code in [('timeout','TO'),('memory','ML'),('error','E'),('skipped','S'),('pending','P')] if c[s]];b.text(j+.5,i+.7,f"{c['completed']}/{int(r.cells_declared)}"+(' + '+' + '.join(parts) if parts else ''),ha='center',va='center',fontsize=5.1) + b.set_title('Completion and failure state',fontweight='bold',pad=12);label(b,'(b)');h=[Line2D([0],[0],marker=MARK[m],color=COL[m],lw=2 if m=='StrataSCAN' else .9,ms=4 if m=='StrataSCAN' else 3,label=m) for m in METHODS];fig.legend(handles=h,loc='lower left',bbox_to_anchor=(.055,.055),ncol=3,frameon=True,fancybox=False); sh=[Rectangle((0,0),1,1,facecolor=f,edgecolor='black',hatch=h,label=n) for n,f,h in STATUS];fig.legend(handles=sh,loc='lower right',bbox_to_anchor=(.995,.055),ncol=3,frameon=True,fancybox=False);fig.text(.5,.015,'TO: timeout; ML: memory limit; E: error; S: skipped after an earlier failure; P: pending. Pending cells are not scored as failures.',ha='center',fontsize=5.8);save(fig,out,'fig3_scalability') +def galleries(out): + from benchmarks.datasets import load_synthetic + specs=[{'family':'multidensity','dimension':2,'noise_fraction':.75},{'family':'ultrasparse','dimension':16,'noise_fraction':.95},{'family':'overlapping_density','dimension':16,'noise_fraction':.8,'signal_fraction':.2},{'family':'moons','dimension':2,'noise_fraction':.25},{'family':'rings','dimension':2,'noise_fraction':.75},{'family':'gaussian_overlap','dimension':8,'noise_fraction':.25}];titles=['Multidensity 2D','Ultrasparse 16D','Overlapping density 16D','Moons 2D','Rings 2D','Gaussian overlap 8D']; fig,ax=plt.subplots(2,3,figsize=(7.16,3.35));fig.subplots_adjust(left=.025,right=.995,top=.89,bottom=.05,hspace=.42,wspace=.08);rng=np.random.default_rng(77) + for i,(a,s,t) in enumerate(zip(ax.flat,specs,titles)): + ds=load_synthetic({**s,'n':20000,'tier':'quality'},42);p=ds.X if ds.X.shape[1]==2 else PCA(n_components=2,random_state=42).fit_transform(ds.X);bg=np.flatnonzero(ds.y<0);keep=rng.choice(bg,min(4000,len(bg)),replace=False);a.scatter(p[keep,0],p[keep,1],s=.45,color='#56A0D3',alpha=.24,lw=0,rasterized=True) + for c in np.unique(ds.y[ds.y>=0]):q=np.flatnonzero(ds.y==c);a.scatter(p[q,0],p[q,1],s=1.3,alpha=.8,lw=0,rasterized=True) + a.set_title(t+('\n(PCA view)' if ds.X.shape[1]>2 else ''),fontweight='bold',pad=3);a.text(-.01,1.04,f'({chr(97+i)})',transform=a.transAxes,ha='right',fontweight='bold',fontsize=8);a.text(.02,.02,f'noise={np.mean(ds.y<0):.0%}, k={len(np.unique(ds.y[ds.y>=0]))}',transform=a.transAxes,fontsize=6,bbox=dict(facecolor='white',alpha=.8,edgecolor='none',pad=.5));a.set_xticks([]);a.set_yticks([]) + save(fig,out,'fig4_standard_benchmark_gallery') + from topology_noise_benchmark.generators import generate + specs=[('compact_gaussian',4,'Gaussian 4x'),('compact_gaussian',16,'Gaussian 16x'),('compact_gaussian',64,'Gaussian 64x'),('moon_arcs',1,'Moon arcs'),('rings',1,'Rings'),('anisotropic_ellipses',1,'Anisotropic ellipses')];fig,ax=plt.subplots(2,3,figsize=(7.16,3.35));fig.subplots_adjust(left=.025,right=.995,top=.89,bottom=.05,hspace=.42,wspace=.08) + for i,(a,(top,ratio,t)) in enumerate(zip(ax.flat,specs)): + ds=generate(topology=top,density_ratio=float(ratio),noise_fraction=.99,geometry_seed=3571,sampling_seed=42);bg=np.flatnonzero(ds.y<0);keep=rng.choice(bg,5000,replace=False);a.scatter(ds.X[keep,0],ds.X[keep,1],s=.42,color='#56A0D3',alpha=.22,lw=0,rasterized=True) + for c in np.unique(ds.y[ds.y>=0]):q=np.flatnonzero(ds.y==c);a.scatter(ds.X[q,0],ds.X[q,1],s=1.2,alpha=.85,lw=0,rasterized=True) + a.set_title(t,fontweight='bold',pad=3);a.text(-.01,1.04,f'({chr(97+i)})',transform=a.transAxes,ha='right',fontweight='bold',fontsize=8);a.text(.02,.02,'noise=99%, k=6',transform=a.transAxes,fontsize=6,bbox=dict(facecolor='white',alpha=.8,edgecolor='none',pad=.5));a.set_xticks([]);a.set_yticks([]) + save(fig,out,'fig5_noise99_benchmark_gallery') +def main(): + p=argparse.ArgumentParser();root=Path(__file__).resolve().parents[3];tab=root/'manuscript/oedm2026/tables/performance_tables_2026-08-06';p.add_argument('--noise99',type=Path,default=tab/'02_noise_aware_6datasets_summary.csv');p.add_argument('--sweep',type=Path,default=tab/'03_noise_fraction_summary_long.csv');p.add_argument('--scale',type=Path,default=tab/'04_scalability_available_to_5m_summary.csv');p.add_argument('--output-dir',type=Path,default=root/'manuscript/oedm2026/figures/performance_2026-08-06');p.add_argument('--skip-galleries',action='store_true');a=p.parse_args();style();a.output_dir.mkdir(parents=True,exist_ok=True);d=noise99(a.noise99);fig1(d,a.output_dir);granularity(d,a.output_dir);fig2(a.sweep,a.output_dir);fig3(scale_frame(a.scale),a.output_dir) + if not a.skip_galleries:galleries(a.output_dir) + (a.output_dir/'provenance.json').write_text(json.dumps({'metric_sources':[str(a.noise99),str(a.sweep),str(a.scale)],'gallery_sources':['benchmarks.datasets.load_synthetic','topology_noise_benchmark.generators.generate'],'policy':'No image generation, no heatmaps, no failure-to-zero imputation.'},indent=2),encoding='utf-8') +if __name__=='__main__':main() diff --git a/manuscript/oedm2026/scripts/revision_results.py b/manuscript/oedm2026/scripts/revision_results.py index 986776d..c5703bc 100644 --- a/manuscript/oedm2026/scripts/revision_results.py +++ b/manuscript/oedm2026/scripts/revision_results.py @@ -25,8 +25,8 @@ ) DEV = "MDL-StrataSCAN" -OLD = "StrataSCAN 0.1.2" -LEGACY = "StrataSCAN 0.1.0" +OLD = "Reference configuration" +LEGACY = "StrataSCAN reference" DISPLAY = { "StrataSCAN-Optimization": DEV, "StrataSCAN": OLD, @@ -205,13 +205,13 @@ def biological_outputs() -> None: ax1 = fig.add_subplot(gs[0, 1]) sns.heatmap(delta, ax=ax1, vmin=-0.3, vmax=0.3, center=0, cmap="vlag", annot=True, fmt="+.2f", annot_kws={"fontsize": 5.5}, yticklabels=False, - cbar_kws={"label": "MDL $-$ 0.1.2", "shrink": 0.72}) + cbar_kws={"label": "MDL $-$ reference", "shrink": 0.72}) ax1.set(xlabel="", ylabel="") ax1.set_title("(b) Paired effects", loc="left", fontweight="bold") ax1.set_xticklabels(ax1.get_xticklabels(), rotation=48, ha="right") ratios = detail.set_index("dataset")[["old_cluster_ratio_log2", "dev_cluster_ratio_log2"]] - ratios.columns = ["0.1.2", "MDL"] + ratios.columns = ["Reference", "MDL"] ax2 = fig.add_subplot(gs[0, 2]) sns.heatmap(ratios, ax=ax2, vmin=-4, vmax=6, center=0, cmap="coolwarm", annot=True, fmt="+.1f", annot_kws={"fontsize": 5.6}, yticklabels=False, @@ -345,7 +345,7 @@ def scalability_outputs() -> None: evidence = pd.DataFrame( [ { - "snapshot": "Fixed-range MDL", + "snapshot": "Reference MDL", "scope": "14 locked synthetic pairs", "n": 5_000, "runtime_seconds": float(locked_current["runtime_seconds"].median()), @@ -353,7 +353,7 @@ def scalability_outputs() -> None: "claim_boundary": "evaluated snapshot; paired-process engineering time", }, { - "snapshot": "Fixed-range MDL", + "snapshot": "Reference MDL", "scope": "7 synthetic families", "n": 20_000, "runtime_seconds": float(runtime_20k_current["runtime_seconds"].median()), @@ -361,7 +361,7 @@ def scalability_outputs() -> None: "claim_boundary": "evaluated snapshot; one seed", }, { - "snapshot": "Fixed-range MDL", + "snapshot": "Reference MDL", "scope": str(largest_biological["dataset_id"]).capitalize(), "n": int(largest_biological["n"]), "runtime_seconds": float(largest_biological["runtime_seconds"]), @@ -369,7 +369,7 @@ def scalability_outputs() -> None: "claim_boundary": "largest directly evaluated snapshot job", }, { - "snapshot": "Earlier dev9", + "snapshot": "Prototype", "scope": "Moons smoke test", "n": int(dev9_million["n"]), "runtime_seconds": float(dev9_million["runtime_seconds"]), @@ -377,7 +377,7 @@ def scalability_outputs() -> None: "claim_boundary": 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stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - +" clip-path="url(#p6991967034)" style="fill: #009e73; stroke: #ffffff; stroke-width: 0.8; stroke-linejoin: miter"/> - + - - - + - - @@ -2947,7 +2997,7 @@ z - + @@ -2957,46 +3007,46 @@ z - + - @@ -3009,36 +3059,36 @@ z - + - @@ -3051,345 +3101,345 @@ z - + - - - - - - - - - - - @@ -3436,23 +3486,23 @@ z - - + - + @@ -3471,102 +3521,102 @@ L 74.751424 191.449396 - + - + - - @@ -3585,60 +3635,60 @@ z - + - + - - @@ -3662,13 +3712,13 @@ z - + - + @@ -3686,13 +3736,13 @@ L 163.473354 191.449396 - + - + @@ -3703,58 +3753,13 @@ L 193.04733 191.449396 - + - - - - + @@ -3765,13 +3770,13 @@ z - + - + @@ -3795,13 +3800,13 @@ L 252.195283 191.449396 - + - - + + @@ -3811,13 +3816,13 @@ L 264.320614 321.907679 - + - + @@ -3826,13 +3831,13 @@ L 264.320614 298.379101 - + - + @@ -3841,13 +3846,13 @@ L 264.320614 274.850523 - + - + @@ -3856,13 +3861,13 @@ L 264.320614 251.321944 - + - + @@ -3871,31 +3876,31 @@ L 264.320614 227.793366 - + - + - @@ -3906,14 +3911,14 @@ z - - + + - @@ -3942,287 +3947,291 @@ z - - - - - - + + + + + + + + + + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - - - - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - + - - @@ -4264,12 +4273,12 @@ z - + - + @@ -4283,12 +4292,12 @@ z - + - + @@ -4306,23 +4315,23 @@ z - - + - + @@ -4331,13 +4340,13 @@ L 360.631268 191.449396 - + - + @@ -4365,7 +4374,7 @@ L 447.153839 191.449396 - + @@ -4406,13 +4415,13 @@ L 447.153839 191.449396 - + - + @@ -4421,13 +4430,13 @@ L 508.07952 298.425749 - + - + @@ -4455,48 +4464,48 @@ L 508.07952 239.562691 - + - @@ -4527,93 +4536,93 @@ z - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - - - - - - - + + + + + + + + + + + + + + - - - - + @@ -4623,84 +4632,84 @@ Q 494.454598 198.652386 496.968143 198.039072 - + - - - @@ -4721,100 +4730,85 @@ z - - + + - - - @@ -4822,52 +4816,55 @@ z - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + @@ -4883,12 +4880,12 @@ z - + - + @@ -4913,17 +4910,17 @@ z - - + + - - + + - - + + - - + + diff --git a/manuscript/oedm2026/tables/biological_dataset_results.csv b/manuscript/oedm2026/tables/biological_dataset_results.csv index 19e4ec9..f5561d4 100644 --- a/manuscript/oedm2026/tables/biological_dataset_results.csv +++ b/manuscript/oedm2026/tables/biological_dataset_results.csv @@ -77,19 +77,19 @@ samusik_10,SNN-DBSCAN,75513.0,0.0635975447197422,0.5944509705207809,1.1549055861 samusik_10,VDBSCAN-2007,75513.0,0.0737897438086254,0.1554635234151003,0.0988200057441428,0.0911212771916721,0.0,98.7203528999962,0.10007808135786757,0.10007808135786757,0.09965517862991762 samusik_10,kNN + Leiden,75513.0,0.3003038543144979,0.0,0.4488789605043877,0.0,0.0416666666666666,38.62084020000475,0.0,0.0,0.0 samusik_10,kNN-DBSCAN,75513.0,0.0198889448377701,0.5619605879407347,0.0107640958882836,0.8905797777985249,0.0,10.862611500007915,0.03841819063145607,0.03841819063145607,0.020695348302919633 -levine,StrataSCAN 0.1.2,265627.0,0.0547040381710945,0.297274647507682,0.059785964108609,0.1878619698593311,0.0,32.00171799999953,0.09240402516531966,0.09240402516531966,0.07818524191829256 -mosmann,StrataSCAN 0.1.2,396460.0,4.090959563786826e-05,0.2402586882269781,7.177140679960453e-10,0.1365658217085361,0.0,50.00836180000624,8.180526203881379e-05,8.180526203881379e-05,2.1531044236963494e-09 -nilsson,StrataSCAN 0.1.2,44140.0,0.0978435790151271,0.2987542205146117,0.0003573555327448,0.1758256817870357,0.0,19.716857499995967,0.14740970431850428,0.14740970431850428,0.0010668937990121138 -samusik_01,StrataSCAN 0.1.2,86864.0,0.0680948218184916,0.3510233264813656,0.1559270883180472,0.2914428185568846,0.0,11.72417349999887,0.11406268598887556,0.11406268598887556,0.12527418427883386 -samusik_02,StrataSCAN 0.1.2,87772.0,0.0764388778258827,0.3520446167656665,0.1521226646493696,0.2935686299493518,0.0,10.606940200006648,0.1256052837034587,0.1256052837034587,0.13335384344964848 -samusik_03,StrataSCAN 0.1.2,84556.0,0.0792163371499707,0.3505492310764929,0.1644531801214319,0.2954086441362596,0.0,10.194591899999068,0.12922964578672594,0.12922964578672594,0.13916539588172425 -samusik_04,StrataSCAN 0.1.2,80713.0,0.0816827844356305,0.3335505416632728,0.1257615440171701,0.2768107614830838,0.0416666666666666,9.1854383999962,0.13122904776953964,0.13122904776953964,0.12935447871039404 -samusik_05,StrataSCAN 0.1.2,84610.0,0.0639811418028547,0.3327661384664468,0.1121731046622164,0.2693930262591476,0.0,9.507552900002338,0.10732654539160806,0.10732654539160806,0.10889485166987141 -samusik_06,StrataSCAN 0.1.2,77282.0,0.0741899644028,0.3364771259734669,0.1194290418441253,0.2734471901536113,0.0,8.741422600003716,0.12157402715399385,0.12157402715399385,0.12085052196546471 -samusik_07,StrataSCAN 0.1.2,95087.0,0.0723662950299332,0.3607656401741799,0.1237371233127661,0.2922100989596549,0.0,11.153523699998914,0.12055113295307765,0.12055113295307765,0.12159474235816213 -samusik_08,StrataSCAN 0.1.2,85741.0,0.0749105567586973,0.3439685392458672,0.1190650647218859,0.2842981527238498,0.0,10.710733100000652,0.12302774250688774,0.12302774250688774,0.12167786385260888 -samusik_09,StrataSCAN 0.1.2,83506.0,0.0762449572285195,0.3403653055369609,0.1350468486418816,0.2865515908798145,0.0,10.653660399999351,0.1245823278114781,0.1245823278114781,0.127885529124932 -samusik_10,StrataSCAN 0.1.2,75513.0,0.0750679131257873,0.3393941807898353,0.114393710998237,0.2651790993682507,0.0,9.236836399999447,0.1229430302695711,0.1229430302695711,0.11995472143481366 +levine,Reference configuration,265627.0,0.0547040381710945,0.297274647507682,0.059785964108609,0.1878619698593311,0.0,32.00171799999953,0.09240402516531966,0.09240402516531966,0.07818524191829256 +mosmann,Reference configuration,396460.0,4.090959563786826e-05,0.2402586882269781,7.177140679960453e-10,0.1365658217085361,0.0,50.00836180000624,8.180526203881379e-05,8.180526203881379e-05,2.1531044236963494e-09 +nilsson,Reference configuration,44140.0,0.0978435790151271,0.2987542205146117,0.0003573555327448,0.1758256817870357,0.0,19.716857499995967,0.14740970431850428,0.14740970431850428,0.0010668937990121138 +samusik_01,Reference configuration,86864.0,0.0680948218184916,0.3510233264813656,0.1559270883180472,0.2914428185568846,0.0,11.72417349999887,0.11406268598887556,0.11406268598887556,0.12527418427883386 +samusik_02,Reference configuration,87772.0,0.0764388778258827,0.3520446167656665,0.1521226646493696,0.2935686299493518,0.0,10.606940200006648,0.1256052837034587,0.1256052837034587,0.13335384344964848 +samusik_03,Reference configuration,84556.0,0.0792163371499707,0.3505492310764929,0.1644531801214319,0.2954086441362596,0.0,10.194591899999068,0.12922964578672594,0.12922964578672594,0.13916539588172425 +samusik_04,Reference configuration,80713.0,0.0816827844356305,0.3335505416632728,0.1257615440171701,0.2768107614830838,0.0416666666666666,9.1854383999962,0.13122904776953964,0.13122904776953964,0.12935447871039404 +samusik_05,Reference configuration,84610.0,0.0639811418028547,0.3327661384664468,0.1121731046622164,0.2693930262591476,0.0,9.507552900002338,0.10732654539160806,0.10732654539160806,0.10889485166987141 +samusik_06,Reference configuration,77282.0,0.0741899644028,0.3364771259734669,0.1194290418441253,0.2734471901536113,0.0,8.741422600003716,0.12157402715399385,0.12157402715399385,0.12085052196546471 +samusik_07,Reference configuration,95087.0,0.0723662950299332,0.3607656401741799,0.1237371233127661,0.2922100989596549,0.0,11.153523699998914,0.12055113295307765,0.12055113295307765,0.12159474235816213 +samusik_08,Reference configuration,85741.0,0.0749105567586973,0.3439685392458672,0.1190650647218859,0.2842981527238498,0.0,10.710733100000652,0.12302774250688774,0.12302774250688774,0.12167786385260888 +samusik_09,Reference configuration,83506.0,0.0762449572285195,0.3403653055369609,0.1350468486418816,0.2865515908798145,0.0,10.653660399999351,0.1245823278114781,0.1245823278114781,0.127885529124932 +samusik_10,Reference configuration,75513.0,0.0750679131257873,0.3393941807898353,0.114393710998237,0.2651790993682507,0.0,9.236836399999447,0.1229430302695711,0.1229430302695711,0.11995472143481366 levine,MDL-StrataSCAN,265627.0,0.2264855118481689,0.379227475312418,0.093062696068243,0.2687945590703839,0.0,58.97688729999936,0.2835981089183771,0.2835981089183771,0.16856132101031582 mosmann,MDL-StrataSCAN,396460.0,0.0010191849432411,0.0123466076918062,4.012714549229836e-07,0.0062116659223768,0.0,516.9917684000029,0.0018829375859981084,0.0018829375859981084,1.2033014953617593e-06 nilsson,MDL-StrataSCAN,44140.0,0.3783783783783783,0.0656020144456961,0.0003771931839386,0.0339180485130875,0.0,72.6199007000032,0.1118174777333161,0.1118174777333161,0.0011239964119710952 diff --git a/manuscript/oedm2026/tables/biology_levine_nilsson/biological_levine_nilsson_results.csv b/manuscript/oedm2026/tables/biology_levine_nilsson/biological_levine_nilsson_results.csv new file mode 100644 index 0000000..486d48f --- /dev/null +++ b/manuscript/oedm2026/tables/biology_levine_nilsson/biological_levine_nilsson_results.csv @@ -0,0 +1,19 @@ +dataset,method,n,ok_fraction,target_f1,noise_f1,pairwise_f1,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,mean_target_fragments,merged_predicted_clusters,runtime_seconds,process_peak_rss_mb,evidence_block,status +levine,StrataSCAN,265627.0,1,0.1902283828568365,0.5377370903072566,0.090139049721817,4254.0,14.0,303.85714285714283,8.247249395903069,1.5,3.0,78.71258849999867,1075.0078125,final 13-dataset biological matrix,completed +levine,DBSCAN,265627.0,1,0.0443344093419363,0.7433815122108536,0.0277976719362526,176.0,14.0,12.571428571428571,3.652076696579693,0.2142857142857142,1.0,257.8175896000175,469.53515625,final 13-dataset biological matrix,completed +levine,HDBSCAN,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +levine,OPTICS,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +levine,SNN-DBSCAN,265627.0,1,0.0087550583598456,0.752721419197689,4.9698625913e-06,434.0,14.0,31.0,4.954196310386875,0.0,0.0,23.446206799999345,474.91796875,final 13-dataset biological matrix,completed +levine,VDBSCAN-2007,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +levine,AMD-DBSCAN,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +levine,kNN-DBSCAN,265627.0,1,0.0407221399646944,0.743399628175593,0.0261157710874928,239.0,14.0,17.071428571428573,4.093511885923145,0.2142857142857142,1.0,20.24149350001244,433.3671875,final 13-dataset biological matrix,completed +levine,kNN+Leiden,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +nilsson,StrataSCAN,44140.0,1,0.5168800931315483,0.2948396257610239,0.000301146606912,198.0,1.0,198.0,7.6293566200796095,3.0,0.0,23.709999099985,365.37109375,final 13-dataset biological matrix,completed +nilsson,DBSCAN,44140.0,1,0.0,0.9363599122870432,0.0,107.0,1.0,107.0,6.741466986401147,0.0,0.0,8.085213000013027,209.84375,final 13-dataset biological matrix,completed +nilsson,HDBSCAN,44140.0,1,0.1036379018612521,0.3937924345295829,0.0002944285389341,28.0,1.0,28.0,4.807354922057604,1.0,0.0,21.57037780000246,208.3125,final 13-dataset biological matrix,completed +nilsson,OPTICS,44140.0,1,0.0,0.9917194906059048,0.0,35.0,1.0,35.0,5.129283016944966,0.0,0.0,15.834482700010994,214.07421875,final 13-dataset biological matrix,completed +nilsson,SNN-DBSCAN,44140.0,1,0.0590717299578059,0.9798306888097332,0.0038380349261178,102.0,1.0,102.0,6.672425341971495,0.0,0.0,2.4617666999984067,284.55859375,final 13-dataset biological matrix,completed +nilsson,VDBSCAN-2007,44140.0,1,0.0191579805508647,0.1283913693655202,0.0001836990699154,27.0,1.0,27.0,4.754887502163468,1.0,0.0,21.447925899992697,361.921875,final 13-dataset biological matrix,completed +nilsson,AMD-DBSCAN,,0,,,,,,,,,,,,final 13-dataset biological matrix,unavailable +nilsson,kNN-DBSCAN,44140.0,1,0.0,0.9363599122870432,0.0,119.0,1.0,119.0,6.894817763307944,0.0,0.0,1.7416115999803878,211.00390625,final 13-dataset biological matrix,completed +nilsson,kNN+Leiden,44140.0,1,0.1385331781140861,0.0,0.0010916661666102,13.0,1.0,13.0,3.700439718141092,1.0,0.0,9.241356700018514,432.23046875,final 13-dataset biological matrix,completed diff --git a/manuscript/oedm2026/tables/biology_levine_nilsson/provenance.json b/manuscript/oedm2026/tables/biology_levine_nilsson/provenance.json new file mode 100644 index 0000000..65d415f --- /dev/null +++ b/manuscript/oedm2026/tables/biology_levine_nilsson/provenance.json @@ -0,0 +1,7 @@ +{ + "source": "manuscript/oedm2026/tables/performance_tables_2026-08-06/05_biological_by_dataset.csv", + "datasets": ["levine", "nilsson"], + "methods": ["StrataSCAN", "DBSCAN", "HDBSCAN", "OPTICS", "SNN-DBSCAN", "VDBSCAN-2007", "AMD-DBSCAN", "kNN-DBSCAN", "kNN+Leiden"], + "failure_policy": "Rows with ok_fraction=0 are written as unavailable; their stored zero placeholders are never interpreted as measured F1 values.", + "metrics": "target_f1 / noise_f1 / pairwise_f1" +} diff --git a/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson.tex b/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson.tex new file mode 100644 index 0000000..6bdf012 --- /dev/null +++ b/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson.tex @@ -0,0 +1,21 @@ +\begin{table*}[t] +\centering +\caption{Performance on the Levine and Nilsson cytometry benchmarks. Each cell reports target-wise F1 / noise F1 / pairwise F1. A dash denotes that the method did not complete under the benchmark resource policy.} +\label{tab:biology-levine-nilsson} +\setlength{\tabcolsep}{5pt} +\begin{tabular}{lcc} +\toprule +Method & Levine & Nilsson \\ +\midrule +\textbf{StrataSCAN} & 0.190 / 0.538 / 0.090 & 0.517 / 0.295 / 0.000 \\ +DBSCAN & 0.044 / 0.743 / 0.028 & 0.000 / 0.936 / 0.000 \\ +HDBSCAN & -- & 0.104 / 0.394 / 0.000 \\ +OPTICS & -- & 0.000 / 0.992 / 0.000 \\ +SNN-DBSCAN & 0.009 / 0.753 / 0.000 & 0.059 / 0.980 / 0.004 \\ +VDBSCAN-2007 & -- & 0.019 / 0.128 / 0.000 \\ +AMD-DBSCAN & -- & -- \\ +kNN-DBSCAN & 0.041 / 0.743 / 0.026 & 0.000 / 0.936 / 0.000 \\ +kNN+Leiden & -- & 0.139 / 0.000 / 0.001 \\ +\bottomrule +\end{tabular} +\end{table*} diff --git a/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson_resources.tex b/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson_resources.tex new file mode 100644 index 0000000..740dfe5 --- /dev/null +++ b/manuscript/oedm2026/tables/biology_levine_nilsson/table_biological_levine_nilsson_resources.tex @@ -0,0 +1,31 @@ +\begin{table*}[t] +\centering +\caption{Resource and granularity diagnostics for the completed Levine and Nilsson runs. Granularity is the predicted-to-reference cluster-count ratio.} +\label{tab:biology-levine-nilsson-resources} +\setlength{\tabcolsep}{4pt} +\begin{tabular}{llrrr} +\toprule +Dataset & Method & Granularity ratio & Runtime (s) & Peak RSS (MB) \\ +\midrule +Levine & \textbf{StrataSCAN} & 303.86 & 78.71 & 1075.0 \\ +Levine & DBSCAN & 12.57 & 257.82 & 469.5 \\ +Levine & HDBSCAN & -- & -- & -- \\ +Levine & OPTICS & -- & -- & -- \\ +Levine & SNN-DBSCAN & 31.00 & 23.45 & 474.9 \\ +Levine & VDBSCAN-2007 & -- & -- & -- \\ +Levine & AMD-DBSCAN & -- & -- & -- \\ +Levine & kNN-DBSCAN & 17.07 & 20.24 & 433.4 \\ +Levine & kNN+Leiden & -- & -- & -- \\ +\midrule +Nilsson & \textbf{StrataSCAN} & 198.00 & 23.71 & 365.4 \\ +Nilsson & DBSCAN & 107.00 & 8.09 & 209.8 \\ +Nilsson & HDBSCAN & 28.00 & 21.57 & 208.3 \\ +Nilsson & OPTICS & 35.00 & 15.83 & 214.1 \\ +Nilsson & SNN-DBSCAN & 102.00 & 2.46 & 284.6 \\ +Nilsson & VDBSCAN-2007 & 27.00 & 21.45 & 361.9 \\ +Nilsson & AMD-DBSCAN & -- & -- & -- \\ +Nilsson & kNN-DBSCAN & 119.00 & 1.74 & 211.0 \\ +Nilsson & kNN+Leiden & 13.00 & 9.24 & 432.2 \\ +\bottomrule +\end{tabular} +\end{table*} diff --git a/manuscript/oedm2026/tables/gaia24_field_results.csv b/manuscript/oedm2026/tables/gaia24_field_results.csv index af369ee..04a37e0 100644 --- a/manuscript/oedm2026/tables/gaia24_field_results.csv +++ b/manuscript/oedm2026/tables/gaia24_field_results.csv @@ -192,50 +192,50 @@ UBC1346__unsupervised_field,VDBSCAN-2007,4422.0,1.0,5.6482932496049255e-05,0.079 UBC1346__unsupervised_field,kNN + Leiden,4422.0,1.0,0.0003055941590505,0.0,0.2741041000117548 UBC1346__unsupervised_field,kNN-DBSCAN,4422.0,0.9268292682926828,0.0260929274433508,0.9002272727272728,0.1330263999989256 UBC1012__unsupervised_field,MDL-StrataSCAN,8843.0,1.0,9.144645506247272e-05,0.0072727272727272,11.705936999998812 -UBC1012__unsupervised_field,StrataSCAN 0.1.2,8843.0,1.0,8.921818930647382e-05,0.2769318181818181,11.487320799998995 +UBC1012__unsupervised_field,Reference configuration,8843.0,1.0,8.921818930647382e-05,0.2769318181818181,11.487320799998995 UBC1015__unsupervised_field,MDL-StrataSCAN,20564.0,1.0,0.0024357222821873,0.00315,30.387586500000907 -UBC1015__unsupervised_field,StrataSCAN 0.1.2,20564.0,1.0,0.0026701169678435,0.2299,11.981271599994216 +UBC1015__unsupervised_field,Reference configuration,20564.0,1.0,0.0026701169678435,0.2299,11.981271599994216 UBC1017__unsupervised_field,MDL-StrataSCAN,5226.0,1.0,5.353218977045973e-05,0.0109615384615384,6.048730399998021 -UBC1017__unsupervised_field,StrataSCAN 0.1.2,5226.0,0.96,0.000544350245993,0.7215384615384616,7.99270599999727 +UBC1017__unsupervised_field,Reference configuration,5226.0,0.96,0.000544350245993,0.7215384615384616,7.99270599999727 UBC1035__unsupervised_field,MDL-StrataSCAN,20112.0,0.9581395348837208,6.736716312583509e-05,0.00355,20.94232139999804 -UBC1035__unsupervised_field,StrataSCAN 0.1.2,20112.0,1.0,9.156900552089952e-05,0.1757,11.483394099996076 +UBC1035__unsupervised_field,Reference configuration,20112.0,1.0,9.156900552089952e-05,0.1757,11.483394099996076 UBC1047__unsupervised_field,MDL-StrataSCAN,6833.0,1.0,8.048515475709947e-05,0.0033823529411764,9.49887430000672 -UBC1047__unsupervised_field,StrataSCAN 0.1.2,6833.0,0.7307692307692308,2.656109743620172e-05,0.2536764705882353,9.708477100000891 +UBC1047__unsupervised_field,Reference configuration,6833.0,0.7307692307692308,2.656109743620172e-05,0.2536764705882353,9.708477100000891 UBC1051__unsupervised_field,MDL-StrataSCAN,16078.0,1.0,4.735371610415916e-05,0.0045625,17.666749800002435 -UBC1051__unsupervised_field,StrataSCAN 0.1.2,16078.0,0.7906976744186047,5.008507293358858e-05,0.3693125,9.597491800006535 +UBC1051__unsupervised_field,Reference configuration,16078.0,0.7906976744186047,5.008507293358858e-05,0.3693125,9.597491800006535 UBC1070__unsupervised_field,MDL-StrataSCAN,3417.0,1.0,4.802627036989233e-05,0.01,5.485270600001968 -UBC1070__unsupervised_field,StrataSCAN 0.1.2,3417.0,1.0,0.0001069219375512,0.3364705882352941,4.458880500002124 +UBC1070__unsupervised_field,Reference configuration,3417.0,1.0,0.0001069219375512,0.3364705882352941,4.458880500002124 UBC1087__unsupervised_field,MDL-StrataSCAN,3819.0,1.0,4.8650454874640447e-05,0.0107894736842105,4.9655688000057125 -UBC1087__unsupervised_field,StrataSCAN 0.1.2,3819.0,1.0,7.417837687300402e-05,0.2007894736842105,6.039017299997795 +UBC1087__unsupervised_field,Reference configuration,3819.0,1.0,7.417837687300402e-05,0.2007894736842105,6.039017299997795 UBC1113__unsupervised_field,MDL-StrataSCAN,6632.0,1.0,9.078806788531344e-05,0.0063636363636363,9.006998199998634 -UBC1113__unsupervised_field,StrataSCAN 0.1.2,6632.0,1.0,8.376678280582075e-05,0.2625757575757576,10.734838199998194 +UBC1113__unsupervised_field,Reference configuration,6632.0,1.0,8.376678280582075e-05,0.2625757575757576,10.734838199998194 UBC1137__unsupervised_field,MDL-StrataSCAN,4823.0,1.0,4.442928736476726e-05,0.005625,6.173396499994851 -UBC1137__unsupervised_field,StrataSCAN 0.1.2,4823.0,1.0,6.113408807754798e-05,0.1504166666666666,6.214457699999912 +UBC1137__unsupervised_field,Reference configuration,4823.0,1.0,6.113408807754798e-05,0.1504166666666666,6.214457699999912 UBC1157__unsupervised_field,MDL-StrataSCAN,7839.0,1.0,5.859527669088986e-05,0.0061538461538461,9.267182899995532 -UBC1157__unsupervised_field,StrataSCAN 0.1.2,7839.0,1.0,8.171476166693262e-05,0.1558974358974359,10.550236099996257 +UBC1157__unsupervised_field,Reference configuration,7839.0,1.0,8.171476166693262e-05,0.1558974358974359,10.550236099996257 UBC1171__unsupervised_field,MDL-StrataSCAN,3013.0,1.0,5.5067887055763655e-05,0.0136666666666666,4.321365299998433 -UBC1171__unsupervised_field,StrataSCAN 0.1.2,3013.0,1.0,6.105469639769464e-05,0.2463333333333333,4.611656900000526 +UBC1171__unsupervised_field,Reference configuration,3013.0,1.0,6.105469639769464e-05,0.2463333333333333,4.611656900000526 UBC1214__unsupervised_field,MDL-StrataSCAN,4221.0,1.0,4.885333658401884e-05,0.0114285714285714,5.146638300000632 -UBC1214__unsupervised_field,StrataSCAN 0.1.2,4221.0,0.95,6.582167292132944e-05,0.2323809523809523,5.5877037000027485 +UBC1214__unsupervised_field,Reference configuration,4221.0,0.95,6.582167292132944e-05,0.2323809523809523,5.5877037000027485 UBC1217__unsupervised_field,MDL-StrataSCAN,3014.0,1.0,4.136135208896418e-05,0.011,4.980523600002925 -UBC1217__unsupervised_field,StrataSCAN 0.1.2,3014.0,1.0,6.031726883406719e-05,0.181,5.263893600000301 +UBC1217__unsupervised_field,Reference configuration,3014.0,1.0,6.031726883406719e-05,0.181,5.263893600000301 UBC1244__unsupervised_field,MDL-StrataSCAN,20105.0,0.9716981132075472,5.490012657912394e-05,0.0034,27.54696510000213 -UBC1244__unsupervised_field,StrataSCAN 0.1.2,20105.0,1.0,8.105104741927155e-05,0.1769,16.162933100000373 +UBC1244__unsupervised_field,Reference configuration,20105.0,1.0,8.105104741927155e-05,0.1769,16.162933100000373 UBC1246__unsupervised_field,MDL-StrataSCAN,13461.0,0.3703703703703703,0.0933333333333333,1.0,34.45447300000524 -UBC1246__unsupervised_field,StrataSCAN 0.1.2,13461.0,0.0115576569477278,6.654827588774468e-05,0.1572228443449048,15.367782799999986 +UBC1246__unsupervised_field,Reference configuration,13461.0,0.0115576569477278,6.654827588774468e-05,0.1572228443449048,15.367782799999986 UBC1268__unsupervised_field,MDL-StrataSCAN,4422.0,0.4285714285714285,0.1219512195121951,1.0,14.524966299999504 -UBC1268__unsupervised_field,StrataSCAN 0.1.2,4422.0,1.0,7.033074631882479e-05,0.1761363636363636,7.7776708000019426 +UBC1268__unsupervised_field,Reference configuration,4422.0,1.0,7.033074631882479e-05,0.1761363636363636,7.7776708000019426 UBC1278__unsupervised_field,MDL-StrataSCAN,4221.0,0.9,0.8031496062992126,0.9997619047619049,13.269362799997907 -UBC1278__unsupervised_field,StrataSCAN 0.1.2,4221.0,0.0128873887695612,8.01387086562971e-05,0.234047619047619,8.542882900001132 +UBC1278__unsupervised_field,Reference configuration,4221.0,0.0128873887695612,8.01387086562971e-05,0.234047619047619,8.542882900001132 UBC1279__unsupervised_field,MDL-StrataSCAN,7838.0,0.7741935483870968,0.5638406537282942,1.0,22.716859699998167 -UBC1279__unsupervised_field,StrataSCAN 0.1.2,7838.0,1.0,7.192447173368262e-05,0.1983333333333333,9.363182199995208 +UBC1279__unsupervised_field,Reference configuration,7838.0,1.0,7.192447173368262e-05,0.1983333333333333,9.363182199995208 UBC1320__unsupervised_field,MDL-StrataSCAN,3216.0,0.9333333333333332,0.8625592417061612,1.0,10.600922000005085 -UBC1320__unsupervised_field,StrataSCAN 0.1.2,3216.0,1.0,7.966738865237632e-05,0.2328125,5.3653410999977496 +UBC1320__unsupervised_field,Reference configuration,3216.0,1.0,7.966738865237632e-05,0.2328125,5.3653410999977496 UBC1322__unsupervised_field,MDL-StrataSCAN,4623.0,0.0,0.0,1.0,46.95229439999821 -UBC1322__unsupervised_field,StrataSCAN 0.1.2,4623.0,1.0,9.051875115608188e-05,0.2730434782608695,7.228724199994758 +UBC1322__unsupervised_field,Reference configuration,4623.0,1.0,9.051875115608188e-05,0.2730434782608695,7.228724199994758 UBC1329__unsupervised_field,MDL-StrataSCAN,4422.0,0.8108108108108109,0.625,1.0,15.645201200000884 -UBC1329__unsupervised_field,StrataSCAN 0.1.2,4422.0,1.0,7.966647681214075e-05,0.2259090909090909,6.661028100003023 +UBC1329__unsupervised_field,Reference configuration,4422.0,1.0,7.966647681214075e-05,0.2259090909090909,6.661028100003023 UBC1334__unsupervised_field,MDL-StrataSCAN,4422.0,0.6666666666666666,0.3846153846153846,1.0,16.707181999998284 -UBC1334__unsupervised_field,StrataSCAN 0.1.2,4422.0,1.0,6.959919301091532e-05,0.1718181818181818,6.430526699994516 +UBC1334__unsupervised_field,Reference configuration,4422.0,1.0,6.959919301091532e-05,0.1718181818181818,6.430526699994516 UBC1346__unsupervised_field,MDL-StrataSCAN,4422.0,1.0,4.8526720366769575e-05,0.0081818181818181,6.471497499995166 -UBC1346__unsupervised_field,StrataSCAN 0.1.2,4422.0,1.0,9.139335700856488e-05,0.2772727272727273,7.156745200001751 +UBC1346__unsupervised_field,Reference configuration,4422.0,1.0,9.139335700856488e-05,0.2772727272727273,7.156745200001751 diff --git a/manuscript/oedm2026/tables/gaia_paired_field_effects.csv b/manuscript/oedm2026/tables/gaia_paired_field_effects.csv index dadc85a..10c5d8b 100644 --- a/manuscript/oedm2026/tables/gaia_paired_field_effects.csv +++ b/manuscript/oedm2026/tables/gaia_paired_field_effects.csv @@ -1,4 +1,4 @@ -dataset_id,StrataSCAN 0.1.2,MDL-StrataSCAN,delta +dataset_id,Reference configuration,MDL-StrataSCAN,delta UBC1322__unsupervised_field,1.0,0.0,-1.0 UBC1268__unsupervised_field,1.0,0.4285714285714285,-0.5714285714285715 UBC1334__unsupervised_field,1.0,0.6666666666666666,-0.33333333333333337 diff --git a/manuscript/oedm2026/tables/locked_synthetic_method_summary.csv b/manuscript/oedm2026/tables/locked_synthetic_method_summary.csv index 9d7c8fa..2856340 100644 --- a/manuscript/oedm2026/tables/locked_synthetic_method_summary.csv +++ b/manuscript/oedm2026/tables/locked_synthetic_method_summary.csv @@ -1,3 +1,3 @@ method,mean_macro_target_f1,mean_pairwise_f1,mean_noise_f1,median_runtime_seconds,median_clusters MDL-StrataSCAN,0.9066796581602385,0.849665894487978,0.9661585126076948,6.127842450001481,8.0 -StrataSCAN 0.1.2,0.8295843905493421,0.7900900626848518,0.9742697795569607,7.112801350005611,7.5 +Reference configuration,0.8295843905493421,0.7900900626848518,0.9742697795569607,7.112801350005611,7.5 diff --git a/manuscript/oedm2026/tables/method_comparison_matrix.csv b/manuscript/oedm2026/tables/method_comparison_matrix.csv index 96729a3..3cd89e9 100644 --- a/manuscript/oedm2026/tables/method_comparison_matrix.csv +++ b/manuscript/oedm2026/tables/method_comparison_matrix.csv @@ -2,32 +2,32 @@ block,method,datasets,mean_primary,median_primary,success_rate_080,mean_pairwise Biological (13),DBSCAN,13,0.03739967083761677,0.03892437662404765,0.0,0.017300354638613714,0.8968733512138201,57.46297529998992 Biological (13),MDL-StrataSCAN,13,0.2173199084242547,0.24273376772407274,0.0,0.12984791840336418,0.20171534230833935,14.571439700004705 Biological (13),OPTICS,13,0.009878963124423974,0.0007151599847520881,0.0,0.010251057065579048,0.8191619518251343,154.45478349999755 +Biological (13),Reference configuration,13,0.1123097695446984,0.1229430302695711,0.0,0.10632713012663067,0.25604334506344706,10.653660399999351 Biological (13),SNN-DBSCAN,13,0.11174940253250416,0.09473110149528957,0.0,0.001931413871024564,0.9881780520762322,12.08892759999435 -Biological (13),StrataSCAN 0.1.2,13,0.1123097695446984,0.1229430302695711,0.0,0.10632713012663067,0.25604334506344706,10.653660399999351 Biological (13),VDBSCAN-2007,13,0.07353352233722607,0.09767113846223442,0.0,0.08613433141472428,0.07795244489764691,142.73260410000512 Biological (13),kNN + Leiden,13,0.0,0.0,0.0,0.38407718405221025,0.0,41.8961152999982 Biological (13),kNN-DBSCAN,13,0.03684760360840497,0.03866805330365046,0.0,0.016990671372667004,0.8969948552943291,11.56661960000929 Biological studies (4),DBSCAN,4,0.030982519468542892,0.02012586905638036,0.0,0.011877091443206292,0.903565570198937,57.52004217499052 Biological studies (4),MDL-StrataSCAN,4,0.16002113819136332,0.17730175313053906,0.0,0.06322463884891157,0.13506544778902613,65.79839400000128 Biological studies (4),OPTICS,4,0.0032106630154377924,0.0,0.0,0.0033315935463131907,0.48934158528191063,7.917241350005497 +Biological studies (4),Reference configuration,4,0.0904771704198461,0.10720858604942066,0.0,0.04808856437194524,0.19577111865047345,25.859287749997748 Biological studies (4),SNN-DBSCAN,4,0.16342685472094778,0.10010374926755147,0.0,0.006256557667102041,0.9853205055128065,17.494126854997738 -Biological studies (4),StrataSCAN 0.1.2,4,0.0904771704198461,0.10720858604942066,0.0,0.04808856437194524,0.19577111865047345,25.859287749997748 Biological studies (4),VDBSCAN-2007,4,0.03143702193329571,0.0167525048304383,0.0,0.028034990708133766,0.057227726737092366,82.33200301999678 Biological studies (4),kNN + Leiden,4,0.0,0.0,0.0,0.12507070970445558,0.0,4.620678350009257 Biological studies (4),kNN-DBSCAN,4,0.02934875581069038,0.020090212425916836,0.0,0.011398016690802659,0.9036197708028553,15.568129490007413 Biological TBS (13),DBSCAN,13,0.02592769646316824,0.030152937199820283,0.0,0.017300354638613714,0.8968733512138201,57.46297529998992 Biological TBS (13),MDL-StrataSCAN,13,0.1707792753041494,0.1958747336836794,0.0,0.12984791840336418,0.20171534230833935,14.571439700004705 Biological TBS (13),OPTICS,13,0.009407481197646691,3.672304667584705e-06,0.0,0.010251057065579048,0.8191619518251343,154.45478349999755 +Biological TBS (13),Reference configuration,13,0.10209679004591249,0.12159474235816213,0.0,0.10632713012663067,0.25604334506344706,10.653660399999351 Biological TBS (13),SNN-DBSCAN,13,0.005304738836695853,2.450436765705819e-05,0.0,0.001931413871024564,0.9881780520762322,12.08892759999435 -Biological TBS (13),StrataSCAN 0.1.2,13,0.10209679004591249,0.12159474235816213,0.0,0.10632713012663067,0.25604334506344706,10.653660399999351 Biological TBS (13),VDBSCAN-2007,13,0.07354070029906425,0.09965517862991762,0.0,0.08613433141472428,0.07795244489764691,142.73260410000512 Biological TBS (13),kNN + Leiden,13,0.0,0.0,0.0,0.38407718405221025,0.0,41.8961152999982 Biological TBS (13),kNN-DBSCAN,13,0.02552044329261927,0.029969312561501267,0.0,0.016990671372667004,0.8969948552943291,11.56661960000929 Biological TBS studies (4),DBSCAN,4,0.01969993441349195,0.014347795353734408,0.0,0.011877091443206292,0.903565570198937,57.52004217499052 Biological TBS studies (4),MDL-StrataSCAN,4,0.09368273163669957,0.08484265871114345,0.0,0.06322463884891157,0.13506544778902613,65.79839400000128 Biological TBS studies (4),OPTICS,4,0.003057431389235175,0.0,0.0,0.0033315935463131907,0.48934158528191063,7.917241350005497 +Biological TBS studies (4),Reference configuration,4,0.05101318778576361,0.03962606785865234,0.0,0.04808856437194524,0.19577111865047345,25.859287749997748 Biological TBS studies (4),SNN-DBSCAN,4,0.017178802815514014,0.00539970126757487,0.0,0.006256557667102041,0.9853205055128065,17.494126854997738 -Biological TBS studies (4),StrataSCAN 0.1.2,4,0.05101318778576361,0.03962606785865234,0.0,0.04808856437194524,0.19577111865047345,25.859287749997748 Biological TBS studies (4),VDBSCAN-2007,4,0.024023375111198876,0.0002725500311177579,0.0,0.028034990708133766,0.057227726737092366,82.33200301999678 Biological TBS studies (4),kNN + Leiden,4,0.0,0.0,0.0,0.12507070970445558,0.0,4.620678350009257 Biological TBS studies (4),kNN-DBSCAN,4,0.018809329520804344,0.014251580262268507,0.0,0.011398016690802659,0.9036197708028553,15.568129490007413 @@ -36,8 +36,8 @@ Gaia (24),DBSCAN,24,0.8403452951485025,0.9271827500883704,0.75,0.049364991841738 Gaia (24),HDBSCAN,24,0.9156726432016962,1.0,0.9166666666666666,0.00016823542712883903,0.08108459382501852,0.16977220000990195 Gaia (24),MDL-StrataSCAN,24,0.8672409919262906,1.0,0.7916666666666666,0.1440735227056437,0.3383020848298373,11.153429500001948 Gaia (24),OPTICS,24,0.647264358179901,0.7761100687929956,0.5,0.13428343784327293,0.9569818182415121,0.6601224500045646 +Gaia (24),Reference configuration,24,0.8939963312877136,1.0,0.8333333333333334,0.0002019853575340483,0.2465174831960523,7.885188399999606 Gaia (24),SNN-DBSCAN,24,0.9162825757912362,1.0,0.8333333333333334,0.24693347871885152,0.9304131798717711,0.18053325000801118 -Gaia (24),StrataSCAN 0.1.2,24,0.8939963312877136,1.0,0.8333333333333334,0.0002019853575340483,0.2465174831960523,7.885188399999606 Gaia (24),VDBSCAN-2007,24,0.835134248421516,1.0,0.8333333333333334,0.00013049208621113907,0.07612477939226547,0.439626949999365 Gaia (24),kNN + Leiden,24,0.8826471164489827,1.0,0.875,0.0007651990914368375,0.0,0.45810984999116044 Gaia (24),kNN-DBSCAN,24,0.834894276336097,0.9271827500883704,0.75,0.052735026906777116,0.8921535856343007,0.14657820000138594 diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/01_standard_synthetic_7datasets_runs.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/01_standard_synthetic_7datasets_runs.csv new file mode 100644 index 0000000..7141690 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/01_standard_synthetic_7datasets_runs.csv @@ -0,0 +1,190 @@ 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+imbalanced_16d,0.75,kNN-DBSCAN,20000,3,3,1,0.3032048205054982,0.03259130825899048,0.904207642918491,0.002048796149035047,0.38326844252596226,0.0646138997037104,15,8,1.875,0.8566185361103159,0.8566185361103159,1.437846366667145,1.4164645000000746,198.50390625,0,ok:3,non-ok F1=0,fresh-seed confirmation +imbalanced_16d,0.75,kNN+Leiden,20000,3,3,1,0.8125348484190641,0.05636804804911996,0,0,0.04471709247109876,0.0015465666573959,8.333333333333334,8,1.0416666666666667,0.05664166714743746,0.05664166714743746,3.5099871000002167,3.495599600000787,323.83203125,0,ok:3,non-ok F1=0,fresh-seed confirmation diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_runs.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_runs.csv new file mode 100644 index 0000000..c64f4c0 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_runs.csv @@ -0,0 +1,217 @@ +benchmark,condition,architecture,topology,density_ratio,noise_fraction,n,method,seed,status,target_f1,noise_f1,pairwise_f1,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,runtime_seconds,peak_rss_mb,error_type,skip_reason +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,23,ok,0.9548542133721397,0.9993879705327464,0.9095500615190097,15,6,2.5,1.3219280948873624,13.426329900001292,410.1875,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,23,ok,0.9234754730671487,0.4748112771529811,0.3281967473031399,11287,6,1881.1666666666667,10.877411958361881,3.6907541999971727,237.8828125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,23,ok,0.9513666427550493,0.684987307397131,0.548198680493948,10718,6,1786.3333333333333,10.802785599990138,1.7553501999936998,219.8203125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,23,ok,0.5157018778143425,0.17537431814227672,0.026015367054586545,4807,6,801.1666666666666,9.64595858741674,4.57486219999555,359.7734375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,23,ok,0.9291285631498649,0.02194508733079139,0.000029537640733309246,378,6,63,5.977279923499917,7.507686400000239,254.3046875,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,23,ok,0.30142301755281803,0,0.001779018999605588,58,6,9.666666666666666,3.273018494406416,134.88893210000242,831.74609375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,42,ok,0.9677926441339534,0.9996379953360329,0.9367536842028726,8,6,1.3333333333333333,0.41503749927884376,12.076152499997988,408.609375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,42,ok,0.9272686221396893,0.47308621664695905,0.32794137271067125,11303,6,1883.8333333333333,10.879455617017408,4.535636699991301,237.5703125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,42,ok,0.9473705587522936,0.6836565096952908,0.5432878911001529,10746,6,1791,10.806549621985962,1.7541410999983782,220.06640625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,42,ok,0.49933154424910137,0.17454653430878156,0.021699950735888648,4800,6,800,9.643856189774725,5.365453399994294,360.13671875,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,42,ok,0.9345683278114411,0.020593821853443967,0.00002933436665586439,347,6,57.833333333333336,5.8538293518571045,7.469726399998763,255.390625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,42,ok,0.27753563547401483,0,0.0017074080765928415,57,6,9.5,3.2479275134435857,86.87785540000186,834.53515625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,73,ok,0.96006074582553,0.9995059565915496,0.9202862591790192,11,6,1.8333333333333333,0.874469117916141,16.38461670000106,506.03515625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,73,ok,0.9378877655838348,0.474595857783028,0.33007348458737135,11108,6,1851.3333333333333,10.85434896109769,4.465469100003247,236.53515625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,73,ok,0.9523139673895549,0.6869446040939033,0.5469632172984462,10589,6,1764.8333333333333,10.785316229899705,1.7676957000076072,219.74609375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,73,ok,0.4254965826859663,0.1791116422056766,0.018838210011027364,4794,6,799,9.642051692927977,4.847203500001342,362.03515625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,73,ok,0.9159793397453241,0.021604338630800062,0.000028138251469949225,349,6,58.166666666666664,5.862120725488496,6.256127899992862,254.4765625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,73,ok,0.15755489804227915,0,0.0017588380139601152,58,6,9.666666666666666,3.273018494406416,95.47985109999718,831.5078125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,151,ok,0.9594049666778846,0.9994273073338349,0.9185376764752982,15,6,2.5,1.3219280948873624,15.642996099995798,502.515625,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,151,ok,0.9259967110512574,0.47365107644078613,0.32311312665880054,11133,6,1855.5,10.857592285697526,4.8520198000042,237.83203125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,151,ok,0.9531228543272204,0.6874638639184217,0.5440840255321485,10560,6,1760,10.78135971352466,1.9646350999973947,219.55859375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,151,ok,0.5153367537826621,0.17333968615034662,0.025173808816623202,4672,6,778.6666666666666,9.604862058158862,5.4890551999997115,361.6328125,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,151,ok,0.928087657987238,0.023184868822452718,0.00002920759913776307,355,6,59.166666666666664,5.886712713670888,8.771134000009624,254.1484375,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,151,ok,0.14466737766134483,0,0.0017686695509629314,57,6,9.5,3.2479275134435857,105.92075040000782,841.57421875,, +noise-aware six-architecture endpoint,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,StrataSCAN,23,ok,0.8775099134599834,0.998839080911013,0.7674925436816852,6,6,1,0,9.292904499990982,416.2734375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,DBSCAN,23,ok,0.8684847038116494,0.48061559449204927,0.31431296612844,11284,6,1880.6666666666667,10.877028449864415,4.229073599999538,235.91015625,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN-DBSCAN,23,ok,0.8895664746491511,0.6852948228480791,0.4944168855169731,10695,6,1782.5,10.79968636133125,2.216854300000705,218.2734375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,SNN-DBSCAN,23,ok,0.5885223591335041,0.17629875943215245,0.036823120436001396,4789,6,798.1666666666666,9.640546219514844,4.700589900006889,362.79296875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,VDBSCAN-2007,23,ok,0.8773565322432672,0.022954584537552215,0.000024643245069155786,411,6,68.5,6.098032082960526,6.16586060001282,253.35546875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN+Leiden,23,ok,0.15433579218413138,0,0.0017253880425315042,55,6,9.166666666666666,3.1963972128035034,122.59848839999177,822.8203125,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,StrataSCAN,42,ok,0.8726601918315312,0.9987970692231982,0.7578717822178918,6,6,1,0,11.864694500007317,499.25390625,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,DBSCAN,42,ok,0.8814607486738569,0.4788647033717456,0.3180022849681737,11319,6,1886.5,10.88149638481011,3.7088727000082145,236.6171875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN-DBSCAN,42,ok,0.9016995185717157,0.6839040349769392,0.5020955598767007,10722,6,1787,10.80332391904149,1.843642899999395,221.01171875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,SNN-DBSCAN,42,ok,0.7118902146184188,0.1751626759229395,0.05673268215129718,4762,6,793.6666666666666,9.632389404549178,5.509019099990837,362.12109375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,VDBSCAN-2007,42,ok,0.0005698232977953537,0.021703533068746356,0.00003506989236931959,326,6,54.333333333333336,5.763765653509921,9.399908399995184,254.09375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN+Leiden,42,ok,0.23449519127161064,0,0.0016299525821617626,54,6,9,3.169925001442312,90.51770090000355,840.05859375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,StrataSCAN,73,ok,0.8982921851282013,0.9990426000847903,0.8103287232675793,12,6,2,1,14.191288899994106,414.45703125,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,DBSCAN,73,ok,0.8750935873189666,0.4791158146283178,0.31360500424761384,11120,6,1853.3333333333333,10.855906666889714,4.6652186999999685,237.2578125,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN-DBSCAN,73,ok,0.9079461922198363,0.6871300331151442,0.5115108828488476,10567,6,1761.1666666666667,10.782315728638569,1.6592956999957096,220.2109375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,SNN-DBSCAN,73,ok,0.5430639588430844,0.17951271327092877,0.027512314642105143,4786,6,797.6666666666666,9.639642180817342,4.616388200010988,355.0234375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,VDBSCAN-2007,73,ok,0.868175446155561,0.022614417523399485,0.000023890491304625957,446,6,74.33333333333333,6.215937399199149,6.801659899996594,253.8125,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN+Leiden,73,ok,0.15421166680806156,0,0.0016758955513137734,54,6,9,3.169925001442312,120.32493470000918,839.796875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,StrataSCAN,151,ok,0.8590090059287202,0.9986878921604361,0.7328646901017174,6,6,1,0,10.952281700010644,412.2265625,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,DBSCAN,151,ok,0.8565294479550661,0.4782131587824134,0.30552847331202054,11136,6,1856,10.857980995127573,3.960184499999741,235.6953125,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN-DBSCAN,151,ok,0.8921233472499118,0.6877078002172352,0.498549969837874,10541,6,1756.8333333333333,10.778761617397935,4.340646099997684,222.234375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,SNN-DBSCAN,151,ok,0.6024713723115299,0.17384844743407807,0.04231272110049981,4644,6,774,9.59618975614441,10.91139330000442,361.3671875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,VDBSCAN-2007,151,ok,0.8197401497237963,0.02405056273216167,0.000020109657722496262,385,6,64.16666666666667,6.003752134861108,16.383984999993118,255.35546875,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,kNN+Leiden,151,ok,0.23431968213574575,0,0.0017236351074981927,57,6,9.5,3.2479275134435857,115.0927542999998,840.984375,, +noise-aware six-architecture endpoint,anisotropic_ellipses_screen,Anisotropic ellipses,anisotropic_ellipses,1,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,StrataSCAN,23,ok,0.9849853319317631,0.999609836608554,0.9694223093217287,20,6,3.3333333333333335,1.7369655941662063,14.86945630000264,408.86328125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,DBSCAN,23,ok,0.9507880740640635,0.4673406812679273,0.3248266022244164,11078,6,1846.3333333333333,10.850447322442164,4.3217239000077825,237.73828125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN-DBSCAN,23,ok,0.9574081824267634,0.6862088795175394,0.551616557410537,10626,6,1771,10.790348496751914,1.8684785999939777,220.734375,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,SNN-DBSCAN,23,ok,0.5951654329178327,0.17590773261287815,0.03356156549587207,4718,6,786.3333333333334,9.618997202518306,4.86435899999924,356.75,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,VDBSCAN-2007,23,ok,0.9862391394930953,0.02141786487536779,0.00003530716639258187,329,6,54.833333333333336,5.776981273014085,6.969887800005381,255.76953125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN+Leiden,23,ok,0.1707985062336991,0,0.0016994201159866544,55,6,9.166666666666666,3.1963972128035034,94.25616279999667,841.1640625,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,StrataSCAN,42,ok,0.9855135042251907,0.9997530268246546,0.9707213754724033,12,6,2,1,12.372069300006842,413.46484375,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,DBSCAN,42,ok,0.9510982685726521,0.47013676050171277,0.33551064071186604,11396,6,1899.3333333333333,10.891277405602695,4.264952500001527,236.4453125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN-DBSCAN,42,ok,0.9636831549256312,0.6858116330007301,0.5572841973378341,10675,6,1779.1666666666667,10.79698594867406,1.9651998000044841,217.1640625,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,SNN-DBSCAN,42,ok,0.5710522238100689,0.17544182904171848,0.03077990141758807,4732,6,788.6666666666666,9.623271857618633,4.824067399997148,360.4921875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,VDBSCAN-2007,42,ok,0.9886739573348162,0.021857256242749864,0.00003534546643559429,318,6,53,5.727920454563199,6.572596500001964,254.3671875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN+Leiden,42,ok,0.138500040861686,0,0.0016361853871735851,53,6,8.833333333333334,3.142957953842043,147.32678619999206,841.578125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,StrataSCAN,73,ok,0.9857706863650367,0.9997305671561363,0.9712855366524036,14,6,2.3333333333333335,1.222392421336448,14.932534100007615,506.03125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,DBSCAN,73,ok,0.9536225378880564,0.46685278947617465,0.32322344216750687,11142,6,1857,10.858758099935422,4.579625500002294,237.78125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN-DBSCAN,73,ok,0.9640582920375816,0.6864364613394368,0.5545772198802846,10618,6,1769.6666666666667,10.789261925402576,2.2021778999915114,220,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,SNN-DBSCAN,73,ok,0.6474387444459393,0.1749659529587647,0.036040826631463,4745,6,790.8333333333334,9.627229871187316,5.548733499992522,357.4921875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,VDBSCAN-2007,73,ok,0.9878868487280082,0.02284477976256518,0.0000356535672229491,340,6,56.666666666666664,5.824428435416546,7.916065400000662,254.13671875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN+Leiden,73,ok,0.15626450861140764,0,0.0017808672025823964,58,6,9.666666666666666,3.273018494406416,187.5561663999979,841.83203125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,StrataSCAN,151,ok,0.9838899248270682,0.9997446037007204,0.9675557800761172,12,6,2,1,44.20476140000392,617.98046875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,DBSCAN,151,ok,0.9288018316109126,0.46351494667138016,0.317831329712505,11163,6,1860.5,10.861474675125773,6.022161900007632,236.5703125,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN-DBSCAN,151,ok,0.9662635890900413,0.6863686792550192,0.5590102755270453,10665,6,1777.5,10.795633844506778,2.3962375999981305,219.28515625,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,SNN-DBSCAN,151,ok,0.576810344872193,0.1765846322261838,0.03073013409856135,4752,6,792,9.62935662007961,7.042383200008771,360.62890625,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,VDBSCAN-2007,151,ok,0.9886969187293028,0.021472784300663388,0.00003547560885366835,335,6,55.833333333333336,5.803054784623979,9.666756799997529,255.50390625,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,kNN+Leiden,151,ok,0.2860368736698608,0,0.001697673951686729,57,6,9.5,3.2479275134435857,115.59507619999931,840.1796875,, +noise-aware six-architecture endpoint,moon_arcs_screen,Moon arcs,moon_arcs,1,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,StrataSCAN,23,ok,0.967518291320284,0.999455371330073,0.9345502281677814,18,6,3,1.584962500721156,15.528081700002076,412.125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,DBSCAN,23,ok,0.9367824218733815,0.47102279308614003,0.3243297967605588,11098,6,1849.6666666666667,10.853049586929975,4.832252599997446,236.9140625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN-DBSCAN,23,ok,0.9165570488523033,0.6863057324840764,0.5179277150535398,10619,6,1769.8333333333333,10.78939779158348,2.312885699997423,220.546875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,SNN-DBSCAN,23,ok,0.8186427946954771,0.17597207864651038,0.0694100271152776,4702,6,783.6666666666666,9.614096322931864,6.188295799991465,358.69140625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,VDBSCAN-2007,23,ok,0.9785732454898118,0.0219996115103921,0.00003505880948605612,356,6,59.333333333333336,5.890770930245242,7.861522999999579,254.19140625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN+Leiden,23,ok,0.23856847342653495,0,0.0016379109118890966,53,6,8.833333333333334,3.142957953842043,143.96327530000417,835.16015625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,StrataSCAN,42,ok,0.9673135696171794,0.999559289586041,0.9340879625531737,12,6,2,1,14.240180700013298,417.5625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,DBSCAN,42,ok,0.911953113153947,0.47394270005951794,0.32745631786261437,11401,6,1900.1666666666667,10.891910249864669,5.042906900009257,237.04296875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN-DBSCAN,42,ok,0.9467652830936051,0.6859036993064492,0.5448427224723834,10667,6,1777.8333333333333,10.795904366735376,2.385040699999081,220.125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,SNN-DBSCAN,42,ok,0.787023041218213,0.17585252135461718,0.06252824948459199,4720,6,786.6666666666666,9.619608643528048,6.851109399998677,360.39453125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,VDBSCAN-2007,42,ok,0.9797212444699106,0.022559436291508306,0.00003540382441186017,366,6,61,5.930737337562887,12.699032499993336,254.1171875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN+Leiden,42,ok,0.2701658992398154,0,0.0016539484830142472,54,6,9,3.169925001442312,86.57584100001259,840.28125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,StrataSCAN,73,ok,0.9725010881495811,0.9995901800400838,0.9445750991610797,14,6,2.3333333333333335,1.222392421336448,19.878078099995037,508.171875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,DBSCAN,73,ok,0.9327658679605856,0.47087847259465837,0.32266593284447825,11192,6,1865.3333333333333,10.865217746443598,6.428586900001392,237.19140625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN-DBSCAN,73,ok,0.9488364378660913,0.6865720045255038,0.5438747895542086,10609,6,1768.1666666666667,10.788038553645281,3.2753427999996347,219.79296875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,SNN-DBSCAN,73,ok,0.7319175393651624,0.17537536922612254,0.05554194410239578,4739,6,789.8333333333334,9.625404444911444,6.5896225000033155,359.13671875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,VDBSCAN-2007,73,ok,0.9785453487309188,0.023348936264613884,0.000035133891826973304,366,6,61,5.930737337562887,10.023553499995614,254.1328125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN+Leiden,73,ok,0.2991412138339546,0,0.0017151027576634372,57,6,9.5,3.2479275134435857,145.8062585999869,840.8515625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,StrataSCAN,151,ok,0.9708899568025341,0.9996070285746366,0.9415559991392687,12,6,2,1,41.535728700007894,625.48828125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,DBSCAN,151,ok,0.9100428678104636,0.4674329501915709,0.31683294214884794,11213,6,1868.8333333333333,10.86792219676546,5.1009231000061845,236.46875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN-DBSCAN,151,ok,0.9496381644717921,0.6864074127312333,0.5469473286267272,10659,6,1776.5,10.794821973331223,2.1649038000032306,220.57421875,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,SNN-DBSCAN,151,ok,0.6715648048423614,0.1768987228470741,0.04239054938318472,4748,6,791.3333333333334,9.62814171892075,6.670843400002923,358.61328125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,VDBSCAN-2007,151,ok,0.9766010120324715,0.02202168869945501,0.00003481164618634304,360,6,60,5.906890595608519,13.25833729999431,254.1328125,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,kNN+Leiden,151,ok,0.15167593243456576,0,0.0017905069953963874,59,6,9.833333333333334,3.297680548640685,170.2930548000004,832.390625,, +noise-aware six-architecture endpoint,rings_screen,Rings,rings,1,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,StrataSCAN,23,ok,0.9714181760520774,0.9995846033804304,0.9431146332012549,14,6,2.3333333333333335,1.222392421336448,25.020450099997106,501.0078125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,DBSCAN,23,ok,0.9429741689159998,0.4714359238291302,0.3301550845539318,11265,6,1877.5,10.874597192401634,7.460326900007203,238.2265625,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN-DBSCAN,23,ok,0.9572500400357021,0.6849970113568439,0.5526081523563882,10719,6,1786.5,10.80292019858527,2.2413357999903383,219.09375,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,SNN-DBSCAN,23,ok,0.5883648197947614,0.17530806075244604,0.03234749756138176,4800,6,800,9.643856189774725,6.8412882999982685,359.13671875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,VDBSCAN-2007,23,ok,0.9431328086385301,0.021472903505168374,0.00003071401613895813,336,6,56,5.807354922057604,8.582754000002751,254.42578125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN+Leiden,23,ok,0.16300900334720528,0,0.0017661304033639042,57,6,9.5,3.2479275134435857,145.38328320000437,840.5546875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,StrataSCAN,42,ok,0.9764895181184544,0.9997221668738722,0.9532301784096529,9,6,1.5,0.5849625007211562,16.062662800002727,508.171875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,DBSCAN,42,ok,0.9439635059529622,0.4689143210640272,0.3282984478107947,11280,6,1880,10.876516946565,5.294360500003677,237.73828125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN-DBSCAN,42,ok,0.9560840562556677,0.6836078894880697,0.5492879260757654,10750,6,1791.6666666666667,10.807086538643029,2.144846700000926,221.65234375,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,SNN-DBSCAN,42,ok,0.4709178296609931,0.17464087888685254,0.02039848042746173,4801,6,800.1666666666666,9.644156719937438,5.607137099999818,362.08203125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,VDBSCAN-2007,42,ok,0.9597988919497183,0.019867991199413293,0.000032061192212005376,325,6,54.166666666666664,5.759333407194661,8.565378300001612,255.05078125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN+Leiden,42,ok,0.15455513287157355,0,0.0016801634280169007,55,6,9.166666666666666,3.1963972128035034,225.86616809999396,841.4296875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,StrataSCAN,73,ok,0.9494228008633988,0.9995846127074831,0.9102620804574708,12,6,2,1,18.777914099991904,506.4296875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,DBSCAN,73,ok,0.9423150717221759,0.4709571962400305,0.32679222644964717,11094,6,1849,10.852529509404196,6.308517099998426,237.734375,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN-DBSCAN,73,ok,0.9610843028000734,0.6869542791880042,0.5529253651476757,10589,6,1764.8333333333333,10.785316229899705,2.508929999996326,221.0546875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,SNN-DBSCAN,73,ok,0.5176587684179714,0.17905660762803619,0.024021279356229407,4789,6,798.1666666666666,9.640546219514844,6.678798499997356,362.35546875,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,VDBSCAN-2007,73,ok,0.9407909458851567,0.02097851617811193,0.00003068934007635551,334,6,55.666666666666664,5.798741791752896,10.572536499996204,254.47265625,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN+Leiden,73,ok,0.14895284529791494,0,0.0016779737686681948,54,6,9,3.169925001442312,132.51841799999238,831.9140625,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,StrataSCAN,151,ok,0.9685429980985775,0.9996267389614363,0.9379053084648493,9,6,1.5,0.5849625007211562,14.600225599991973,507.64453125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,DBSCAN,151,ok,0.9396491310353158,0.4700756372502726,0.32327123293602067,11121,6,1853.5,10.856036399819155,4.870566300000064,239.43359375,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN-DBSCAN,151,ok,0.9631763325615346,0.6874302570958226,0.5514738538976527,10563,6,1760.5,10.781769511863132,2.2017826000083005,221.58203125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,SNN-DBSCAN,151,ok,0.5431198885470049,0.17340785786375537,0.028577470209393975,4668,6,778,9.603626344986193,5.707425900007365,359.33203125,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,VDBSCAN-2007,151,ok,0.9394173741622471,0.022735216284140276,0.00003071118416155867,329,6,54.833333333333336,5.776981273014085,6.9657571999996435,255.80859375,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,kNN+Leiden,151,ok,0.12881028114074067,0,0.001759615799300589,56,6,9.333333333333334,3.222392421336448,97.11894640000537,841.0390625,, +noise-aware six-architecture endpoint,gaussian_density_r16,Gaussian 16x,compact_gaussian,16,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,StrataSCAN,23,ok,0.9753032700173998,0.9996267305808689,0.9511339791833757,14,6,2.3333333333333335,1.222392421336448,16.741623099995195,412.44140625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,DBSCAN,23,ok,0.9472795022554016,0.468940630638371,0.3291161378814387,11246,6,1874.3333333333333,10.872161830819648,5.393042800002149,238.5234375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN-DBSCAN,23,ok,0.9627148849022569,0.6849824553635669,0.5562957442652028,10721,6,1786.8333333333333,10.803189358108606,2.7279295999906026,220.40234375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,SNN-DBSCAN,23,ok,0.5915201587272291,0.17535743892578984,0.032716467215920204,4802,6,800.3333333333334,9.64445718750926,6.767158200003905,361.3984375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,VDBSCAN-2007,23,ok,0.9576363759082808,0.021220247514033015,0.00003194185699493066,325,6,54.166666666666664,5.759333407194661,9.29459499999939,254.609375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN+Leiden,23,ok,0.28124699887532173,0,0.0016881361810361006,55,6,9.166666666666666,3.1963972128035034,162.6117540999985,840.7890625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,StrataSCAN,42,ok,0.9805544582504853,0.9997670796559515,0.961380443714051,8,6,1.3333333333333333,0.41503749927884376,16.432723600009922,416.3046875,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,DBSCAN,42,ok,0.9485366010053934,0.4664239795523198,0.32638001986660986,11264,6,1877.3333333333333,10.87446911791614,5.797535700010485,238.55859375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN-DBSCAN,42,ok,0.9679058267508126,0.683559265689063,0.5572686175555146,10757,6,1792.8333333333333,10.80802566224398,2.3897780000115745,220.6875,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,SNN-DBSCAN,42,ok,0.49039245365337064,0.17472408215082824,0.020683578582664622,4799,6,799.8333333333334,9.643555596995038,5.476508000007016,358.90625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,VDBSCAN-2007,42,ok,0.9706977860120699,0.019537892174840796,0.00003309133972101411,319,6,53.166666666666664,5.732450113043713,7.864745099999709,254.73828125,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN+Leiden,42,ok,0.12168564572644158,0,0.001646612525198342,54,6,9,3.169925001442312,150.5321466000023,840.4453125,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,StrataSCAN,73,ok,0.975913230318788,0.999741839895838,0.9528508009471561,7,6,1.1666666666666667,0.22239242133644802,13.602487599986489,416.87109375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,DBSCAN,73,ok,0.9495213366331144,0.46796657381615603,0.3259731953368026,11078,6,1846.3333333333333,10.850447322442164,5.078741099991021,238.47265625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN-DBSCAN,73,ok,0.9665429648537666,0.6869542791880042,0.5567482780069607,10592,6,1765.3333333333333,10.785724906086061,2.778451000005589,219.15625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,SNN-DBSCAN,73,ok,0.5428945202277546,0.1790268790570114,0.026023649367752345,4787,6,797.8333333333334,9.63994358999861,6.543786499998532,360.52734375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,VDBSCAN-2007,73,ok,0.9529297351275922,0.020703749777856766,0.00003198242459924877,324,6,54,5.754887502163468,9.568187500000931,254.53125,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN+Leiden,73,ok,0.08442501718286655,0,0.001753205611207853,57,6,9.5,3.2479275134435857,125.53003500000341,830.85546875,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,StrataSCAN,151,ok,0.9162731724600471,0.9993129306452563,0.8796126440803431,6,6,1,0,23.205595699997502,618.921875,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,DBSCAN,151,ok,0.9526596706039855,0.46824769206965916,0.3248228767260683,11105,6,1850.8333333333333,10.853959271713187,5.8668326000042725,238.8359375,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN-DBSCAN,151,ok,0.9686470946228335,0.6874592599958018,0.5552034147765262,10563,6,1760.5,10.781769511863132,2.801527799994801,217.98046875,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,SNN-DBSCAN,151,ok,0.554804070180761,0.17350765384536568,0.0277133357541438,4666,6,777.6666666666666,9.603008091263042,6.769704599995748,361.75390625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,VDBSCAN-2007,151,ok,0.9479469104407926,0.022417045832870935,0.00003153207439736402,325,6,54.166666666666664,5.759333407194661,9.586487500011572,254.50390625,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,kNN+Leiden,151,ok,0.4095951345917095,0,0.0016389541855876624,56,6,9.333333333333334,3.222392421336448,84.862329399999,838.8828125,, +noise-aware six-architecture endpoint,gaussian_density_r64,Gaussian 64x,compact_gaussian,64,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_summary.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_summary.csv new file mode 100644 index 0000000..fb6d715 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/02_noise_aware_6datasets_summary.csv @@ -0,0 +1,55 @@ +architecture,cell_id,method,topology,density_ratio,noise_fraction,n,seeds_attempted,seeds_completed,completion_fraction,timeouts,resource_skips,target_f1_mean,target_f1_sd,noise_f1_mean,noise_f1_sd,pairwise_f1_mean,pairwise_f1_sd,predicted_clusters_mean,truth_clusters_mean,granularity_ratio_mean,granularity_ratio_sd,granularity_log2_ratio_mean,runtime_seconds_mean,runtime_seconds_median,peak_rss_mb_median,status_summary,metric_policy +Gaussian 4x,gaussian_noise_curve_r4,StrataSCAN,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.960528142502377,0.005368005194867799,0.999489807448541,0.00011029878599522594,0.9212819203440499,0.011336286928275617,12.25,6,2.0416666666666665,0.5672382737961705,0.9833407017424274,14.382523799999035,14.534662999998545,456.3515625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,DBSCAN,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.9286571429604826,0.006352426961711156,0.47403610700593857,0.0008092692010907128,0.3273311828149958,0.0029683749953754927,11207.75,6,1867.9583333333333,16.91228733681413,10.867202205543627,4.38596994999898,4.500552899997274,237.701171875,ok:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,HDBSCAN,compact_gaussian,4,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,OPTICS,compact_gaussian,4,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,SNN-DBSCAN,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.48896668963301804,0.04299626052511196,0.17559304520177038,0.0024900587989195653,0.02293183415453144,0.003307059162689728,4768.25,6,794.7083333333333,10.73103408775654,9.634182132069576,5.0691435749977245,5.106328449997818,360.884765625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,VDBSCAN-2007,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.926940972173467,0.007840798899631131,0.021832029159372032,0.00106894926811082,0.000029054464499221486,6.257531523452608e-7,357.25,6,59.541666666666664,2.374147020315733,5.8949856786291015,7.501168675000372,7.488706399999501,254.390625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,AMD-DBSCAN,compact_gaussian,4,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,kNN-DBSCAN,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.9510435058060296,0.0025516478633203473,0.6857630712761867,0.0017633421582680714,0.5456334536061739,0.0023274486237992342,10653.25,6,1775.5416666666665,15.40164433260774,10.794002791350115,1.81045552499927,1.7615229500006535,219.783203125,ok:4,completed rows only; no timeout/skip imputation +Gaussian 4x,gaussian_noise_curve_r4,kNN+Leiden,compact_gaussian,4,0.99,180000,4,4,1,0,0,0.22029523218261424,0.08065172706472198,0,0,0.001753483660280369,0.00003180300481480206,57.5,6,9.583333333333332,0.0962250448649373,3.260473003925001,105.79184725000232,100.7003007500025,833.140625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,StrataSCAN,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.966468373283127,0.01182905319546186,0.9996295304808055,0.00006487255354190976,0.936128050133307,0.018380262683961094,11,6,1.8333333333333335,0.40824829046386313,0.8480793556946901,18.615313149995927,17.420288449997315,507.037109375,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,DBSCAN,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.9422254694066134,0.0018463360086194282,0.4703457695958651,0.0011081960080745886,0.32712924793759857,0.0029166521223236838,11190,6,1865,16.015617378046965,10.864920012047497,5.9834427000023425,5.801438800001051,237.982421875,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,HDBSCAN,compact_gaussian,16,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,OPTICS,compact_gaussian,16,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,SNN-DBSCAN,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.5300153266051827,0.04906319589560041,0.17560335128277252,0.0024330173550045375,0.026336181888616715,0.005220931009910603,4764.5,6,794.0833333333333,10.76043851509021,9.633046368553302,6.208662450000702,6.193112200002361,360.70703125,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,VDBSCAN-2007,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.9457850051589131,0.009467673454228893,0.02126365679170847,0.0011886209294666916,0.00003104393314721942,6.782623314009209e-7,331,6,55.166666666666664,0.8277591347639635,5.785602848504812,8.671606500000053,8.574066150002182,254.76171875,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,AMD-DBSCAN,compact_gaussian,16,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,kNN-DBSCAN,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.9593986829132445,0.0033022904860329516,0.6857473592821852,0.0017728652627130995,0.5515738243693705,0.0016463922137076976,10655.25,6,1775.875,15.4981331014297,10.794273119747784,2.2742237749989727,2.2215591999993194,221.318359375,ok:4,completed rows only; no timeout/skip imputation +Gaussian 16x,gaussian_density_r16,kNN+Leiden,compact_gaussian,16,0.99,180000,4,4,1,0,0,0.1488318156643586,0.014544477798597489,0,0,0.0017209708498373973,0.0000484658369659599,55.5,6,9.25,0.21516574145596776,3.209160537256462,150.22170392499902,138.95085059999838,840.796875,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,StrataSCAN,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.96201103276168,0.03058193999737841,0.9996121451944786,0.00020862045511331142,0.9362444669812314,0.03801950636535606,8.75,6,1.4583333333333335,0.5989960736902173,0.464955585487935,17.495607499997277,16.58717335000256,416.587890625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,DBSCAN,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.9494992776244737,0.0022980222907877947,0.4678947190191265,0.0010625062793150931,0.32657305745272985,0.001819110470407555,11173.25,6,1862.2083333333333,15.886970552416006,10.862759385722784,5.534038050001982,5.595289250006317,238.541015625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,HDBSCAN,compact_gaussian,64,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,OPTICS,compact_gaussian,64,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,SNN-DBSCAN,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.5449028006972789,0.04181955018237557,0.1756540134947488,0.0023759777373365057,0.026784257730120248,0.004961555753969461,4763.5,6,793.9166666666666,10.887046329366775,9.632741116441487,6.3892893250013,6.655472350001219,360.962890625,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,VDBSCAN-2007,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.9573027018721838,0.009767177841014107,0.020969733824900378,0.0011942064563250996,0.00003213692392813939,6.680004021024181e-7,323.25,6,53.87499999999999,0.4787135538781693,5.751501107399125,9.0785037750029,9.43139125000016,254.5703125,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,AMD-DBSCAN,compact_gaussian,64,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,kNN-DBSCAN,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.9664526927824174,0.00263984561184812,0.685738815059109,0.0018036813534483087,0.556379013651051,0.0008787714484410817,10658.25,6,1776.375,15.855466985659318,10.794677359575445,2.6744216000006418,2.7531902999980957,219.779296875,ok:4,completed rows only; no timeout/skip imputation +Gaussian 64x,gaussian_density_r64,kNN+Leiden,compact_gaussian,64,0.99,180000,4,4,1,0,0,0.22423819909408482,0.15019093273555773,0,0,0.0016817271257574895,0.00005232210958744629,55.5,6,9.25,0.21516574145596776,3.209160537256462,130.8840662750008,138.03109080000286,839.6640625,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,StrataSCAN,moon_arcs,1,0.99,180000,4,4,1,0,0,0.9850398618372647,0.0008334207100952887,0.9997095085725163,0.00006709066163787774,0.9697462503806633,0.0016556337291876153,14.5,6,2.416666666666667,0.6309898162000305,1.2398395038756638,21.594705275005253,14.900995200005127,459.748046875,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,DBSCAN,moon_arcs,1,0.99,180000,4,4,1,0,0,0.9460776780339212,0.01158697458310115,0.46696129447929874,0.0027151798800902106,0.3253480037040736,0.007406420639628021,11194.75,6,1865.7916666666665,23.158621704653726,10.865489375776512,4.797115950004809,4.450674700005038,237.154296875,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,HDBSCAN,moon_arcs,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,OPTICS,moon_arcs,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,SNN-DBSCAN,moon_arcs,1,0.99,180000,4,4,1,0,0,0.5976166865115085,0.03476981752435281,0.1757250367098863,0.0006900958796029014,0.03277810691087112,0.002545988031059676,4736.75,6,789.4583333333334,2.4995369941621512,9.624713887850968,5.56988577499942,5.206546249995881,358.9921875,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,VDBSCAN-2007,moon_arcs,1,0.99,180000,4,4,1,0,0,0.9878742160713057,0.0011532650393071726,0.02189817129533656,0.0006606537126355428,0.00003544545222619841,1.563557952818419e-7,330.5,6,55.083333333333336,1.5782080790379762,5.783096236904452,7.781326625001384,7.442976600003021,254.935546875,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,AMD-DBSCAN,moon_arcs,1,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,kNN-DBSCAN,moon_arcs,1,0.99,180000,4,4,1,0,0,0.9628533046200044,0.003804385279830316,0.6862064132781814,0.00027994636839198705,0.5556220625389253,0.0032341122871389436,10646,6,1774.3333333333335,4.700275799630549,10.793057553833833,2.108023474997026,2.0836888499979977,219.642578125,ok:4,completed rows only; no timeout/skip imputation +Moon arcs,moon_arcs_screen,kNN+Leiden,moon_arcs,1,0.99,180000,4,4,1,0,0,0.18789998234416339,0.06674445630162003,0,0,0.0017035366643573411,0.00005935072044158695,55.75,6,9.291666666666666,0.36955929710139046,3.2150752936238867,136.18354789999648,131.46093119999568,841.37109375,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,StrataSCAN,rings,1,0.99,180000,4,4,1,0,0,0.9695557264723947,0.002558237371430291,0.9995529673827086,0.00006800086785383514,0.938692322255326,0.005201435094130996,14,6,2.3333333333333335,0.4714045207910317,1.201838730514401,22.795517300004576,17.703079899998556,462.8671875,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,DBSCAN,rings,1,0.99,180000,4,4,1,0,0,0.9228860676995945,0.013846737172944044,0.4708192289829718,0.002662574178543283,0.3228212474041249,0.00445883100370395,11226,6,1871,21.155071189599855,10.869524945000926,5.35116737500357,5.071915000007721,236.978515625,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,HDBSCAN,rings,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,OPTICS,rings,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,SNN-DBSCAN,rings,1,0.99,180000,4,4,1,0,0,0.7522870450303034,0.0646546512036468,0.17602467301858105,0.0006371710604876303,0.05746769252136252,0.011536281095069387,4727.25,6,787.875,3.4139555639452697,9.621812782573027,6.574967774999095,6.630232950003119,358.9140625,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,VDBSCAN-2007,rings,1,0.99,180000,4,4,1,0,0,0.9783602126807782,0.0012944564865633801,0.022482418191492323,0.0006330243057272364,0.00003510204297780816,2.437798285570698e-7,362,6,60.333333333333336,0.816496580927725,5.914784050244884,10.96061157499571,11.361292999994475,254.1328125,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,AMD-DBSCAN,rings,1,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,kNN-DBSCAN,rings,1,0.99,180000,4,4,1,0,0,0.9404492335709479,0.015974047902681133,0.6862972122618157,0.00028435891163066133,0.5383981389267147,0.013707093750402636,10638.5,6,1773.0833333333333,4.79486608162735,10.792040671323841,2.5345432499998424,2.348963199998252,220.3359375,ok:4,completed rows only; no timeout/skip imputation +Rings,rings_screen,kNN+Leiden,rings,1,0.99,180000,4,4,1,0,0,0.23988787973371767,0.06379865345109231,0,0,0.001699367286990792,0.00006926712852151134,55.75,6,9.291666666666668,0.4589642122738419,3.214622754342156,136.659607425001,144.88476694999554,837.720703125,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,StrataSCAN,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.8768678240871091,0.016289639652188014,0.9988416605948595,0.00014834245878378734,0.7671394348172184,0.03228047311060364,7.5,6,1.25,0.5,0.25,11.575292400000762,11.40848810000898,415.365234375,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,DBSCAN,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.8703921219398847,0.010652546619032718,0.47920231781863154,0.0010160795361321014,0.31286218216406203,0.005255489229445616,11214.75,6,1869.125,16.899142537966828,10.868103124172954,4.140837375001865,4.094629049999639,236.263671875,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,HDBSCAN,anisotropic_ellipses,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,OPTICS,anisotropic_ellipses,1,0.99,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,SNN-DBSCAN,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.6114869762266344,0.07158019823856132,0.17620564901502467,0.002421400125718391,0.04084520958247588,0.01222713734926991,4745.25,6,790.875,11.42882564201393,9.627191890256444,6.434347625003284,5.104804499998863,361.744140625,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,VDBSCAN-2007,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.6414604878551049,0.428007436784255,0.02283077446546493,0.000969655581873833,0.0000259283216163994,0.000006409090924947055,392,6,65.33333333333334,8.433838368716202,6.020371817632675,9.687853474999429,8.100784149995889,253.953125,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,AMD-DBSCAN,anisotropic_ellipses,1,0.99,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,kNN-DBSCAN,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.8978338831726537,0.008527645152162892,0.6860091727893494,0.0017400731839531873,0.5016433245200989,0.007288426625936019,10631.25,6,1771.875,15.08394719438394,10.79102190660231,2.5151097499983734,2.03024860000005,220.611328125,ok:4,completed rows only; no timeout/skip imputation +Anisotropic ellipses,anisotropic_ellipses_screen,kNN+Leiden,anisotropic_ellipses,1,0.99,180000,4,4,1,0,0,0.19434058309988733,0.04626530066227934,0,0,0.0016887178208763083,0.00004539341339588034,55,6,9.166666666666666,0.23570226039551584,3.1960436822829283,112.13346957500107,117.70884450000449,839.927734375,ok:4,completed rows only; no timeout/skip imputation diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_matrix.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_matrix.csv new file mode 100644 index 0000000..91513c2 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_matrix.csv @@ -0,0 +1,10 @@ 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+StrataSCAN,3600,4,0.9543022339505864,0.9910388741287093,0.9313256949338933,1.4583333333333333,0.8213262499994016,223.029296875,7200,4,0.9748309389757639,0.9966663619799818,0.9621477364230889,1.5416666666666665,1.3779037999920547,224.20703125,18000,4,0.9791622203023455,0.9989115111526004,0.9678830564040952,1.3333333333333333,1.4722601000030409,236.138671875,36000,4,0.972916563844317,0.9989539967572065,0.9594182994853653,1.4583333333333335,2.7838195500007714,267.81640625,72000,4,0.9688089118351327,0.9992820747092638,0.9452280979962493,1.5416666666666667,3.8702607000013813,309.341796875,180000,4,0.960528142502377,0.999489807448541,0.9212819203440499,2.0416666666666665,14.534662999998545,456.3515625 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+kNN-DBSCAN,3600,4,0.5528047536245266,0.8463033953749015,0.41822686444423485,7.708333333333333,0.021092299997690134,183.455078125,7200,4,0.9946264050191916,0.9992125812474273,0.9901446900759163,1.0833333333333335,0.0446274999922025,184.982421875,18000,4,0.9841838569320311,0.7840520261944023,0.9323431937146689,133.33333333333334,0.07909605000168085,186.52734375,36000,4,0.9776515705818999,0.7262517541135695,0.8613430138400852,319.95833333333337,0.17313165000086883,194.90234375,72000,4,0.9681612751382986,0.7001553426168036,0.7507204241004399,687.8333333333334,0.4564919499971438,201.904296875,180000,4,0.9510435058060296,0.6857630712761867,0.5456334536061739,1775.5416666666665,1.7615229500006535,219.783203125 +kNN+Leiden,3600,4,0.9772203945429766,0,0.5362246384180095,1.5833333333333335,0.2042232999956468,226.953125,7200,4,0.9542086554055986,0,0.2852138331799477,2.916666666666667,0.4005289500055369,240.369140625,18000,4,0.9513706633147712,0,0.07934267354438529,4.750000000000001,1.493257750000339,276.0859375,36000,4,0.8035797535770446,0,0.025337485877717305,5.875,5.291019950003829,337.72265625,72000,4,0.6669432079461313,0,0.008052401683310284,7.458333333333334,23.64169810000749,458.505859375,180000,4,0.22029523218261424,0,0.001753483660280369,9.583333333333332,100.7003007500025,833.140625 diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_runs.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_runs.csv new file mode 100644 index 0000000..8a4e45b --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_runs.csv @@ -0,0 +1,217 @@ +benchmark,condition,architecture,topology,density_ratio,noise_fraction,n,method,seed,status,target_f1,noise_f1,pairwise_f1,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,runtime_seconds,peak_rss_mb,error_type,skip_reason +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,StrataSCAN,23,ok,0.9529036730132415,0.9892650701899256,0.9240183905294758,8,6,1.3333333333333333,0.41503749927884376,0.720660000006319,221.37109375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,DBSCAN,23,ok,0.708697554002637,0.869292099540952,0.5643422267035846,37,6,6.166666666666667,2.6244908649077936,0.03912060000584461,184.13671875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,HDBSCAN,23,ok,0.9706122380097194,0.6923356338539775,0.876809988661097,16,6,2.6666666666666665,1.4150374992788437,0.11712110000371467,183.55859375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,OPTICS,23,ok,0.986279588078124,0.9863547758284601,0.9731227998854324,6,6,1,0,4.420744000002742,184.55078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN-DBSCAN,23,ok,0.5278252614454416,0.8515976331360947,0.38705346439702715,56,6,9.333333333333334,3.222392421336448,0.02582280000206083,182.8515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,SNN-DBSCAN,23,ok,0.6054143566983242,0.17458777885548013,0.4305389370542692,61,6,10.166666666666666,3.34577483684173,0.06734059999871533,228.5546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,VDBSCAN-2007,23,ok,0.8868318903287923,0.07897545357524013,0.251928460403552,50,6,8.333333333333334,3.0588936890535687,0.09942919999593869,184.33203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN+Leiden,23,ok,0.9828472828247188,0,0.5008743430793815,9,6,1.5,0.5849625007211562,0.20952559998841025,226.85546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,StrataSCAN,42,ok,0.9943834173221929,0.9944690265486726,0.9888935751441024,6,6,1,0,0.8258294999977807,224.6875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,DBSCAN,42,ok,0.6869830556841765,0.8657362848893168,0.5749477847221671,31,6,5.166666666666667,2.3692338096657193,0.0393459999904735,184.0234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,HDBSCAN,42,ok,0.95866157639662,0.6813186813186815,0.8591899157732071,14,6,2.3333333333333335,1.222392421336448,0.15843549999408424,183.5234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,OPTICS,42,ok,0.9871278769064441,0.9871937639198217,0.9747033439213698,6,6,1,0,4.891471399998409,183.78515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN-DBSCAN,42,ok,0.5764193697950476,0.8465882352941178,0.4340392846024261,47,6,7.833333333333333,2.969626350956481,0.01738239999394864,183.40234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,SNN-DBSCAN,42,ok,0.49096240923611584,0.15988229524276604,0.260218812651667,77,6,12.833333333333334,3.6818240399737454,0.06280420000257436,227.7109375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,VDBSCAN-2007,42,ok,0.9008413315328127,0.0861244019138756,0.28971451179895613,59,6,9.833333333333334,3.297680548640685,0.054509699999471195,184.70703125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN+Leiden,42,ok,0.9773247402045321,0,0.5738700400813356,10,6,1.6666666666666667,0.7369655941662062,0.19892100000288337,226.34375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,StrataSCAN,73,ok,0.9576638560205325,0.9884169884169884,0.9340597452025396,11,6,1.8333333333333333,0.874469117916141,0.9579420999943977,226.10546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,DBSCAN,73,ok,0.7040890546394531,0.8663616662653504,0.5663423093213003,32,6,5.333333333333333,2.415037499278844,0.035507499997038394,184.125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,HDBSCAN,73,ok,0.9839855722698226,0.7381703470031545,0.9005481597494127,12,6,2,1,0.11963960000139195,183.6796875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,OPTICS,73,ok,0.7665313237780409,0.8765038055487355,0.8006767418212419,6,6,1,0,5.278407000005245,183.8984375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN-DBSCAN,73,ok,0.5790782959808266,0.8422284644194756,0.4539806104129265,35,6,5.833333333333333,2.5443205162238103,0.022477899998193607,183.5078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,SNN-DBSCAN,73,ok,0.4957152003538408,0.15877712031558183,0.28351317415294724,69,6,11.5,3.523561956057013,0.06266290000348818,227.953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,VDBSCAN-2007,73,ok,0.8960417109225686,0.08815719596388741,0.46813611906515706,52,6,8.666666666666666,3.1154772174199357,0.07989649999944959,184.68359375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN+Leiden,73,ok,0.9770034724710851,0,0.504365167128361,9,6,1.5,0.5849625007211562,0.19576789998973254,227.05078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,StrataSCAN,151,ok,0.9122579894463789,0.9920044113592501,0.8783310688594554,10,6,1.6666666666666667,0.7369655941662062,0.8168230000010226,221.3203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,DBSCAN,151,ok,0.6816665626431523,0.8676151434772126,0.5650260082703901,26,6,4.333333333333333,2.1154772174199357,0.0390795999992406,183.5,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,HDBSCAN,151,ok,0.9820914043613591,0.6435568952524492,0.8852425041408362,16,6,2.6666666666666665,1.4150374992788437,0.16803359999903478,183.88671875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,OPTICS,151,ok,0.9705041724338646,0.9730612244897959,0.9466187909118478,6,6,1,0,4.474184599996079,183.8828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN-DBSCAN,151,ok,0.5278960872767909,0.8447992486499178,0.39783409836455974,47,6,7.833333333333333,2.969626350956481,0.01970669999718666,183.5390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,SNN-DBSCAN,151,ok,0.609619747337007,0.1916342412451362,0.3946909149069287,69,6,11.5,3.523561956057013,0.05550230000517331,228.80859375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,VDBSCAN-2007,151,ok,0.8980537028509977,0.06347498655190964,0.24771987901717044,47,6,7.833333333333333,2.969626350956481,0.06276980000257026,184.75390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,kNN+Leiden,151,ok,0.9717060826715701,0,0.5657890033829598,10,6,1.6666666666666667,0.7369655941662062,0.2630207999900449,227.1328125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.5,3600,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,StrataSCAN,23,ok,0.9910275673036008,0.9958329474951385,0.9821187387878162,10,6,1.6666666666666667,0.7369655941662062,1.4793461999943247,223.96484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,DBSCAN,23,ok,0.974995615546289,0.47263470513364453,0.9008767730466776,337,6,56.166666666666664,5.811642280460703,0.122787000000244,187.67578125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,HDBSCAN,23,ok,0.9707369800808072,0.6012174588783836,0.7319312131535465,41,6,6.833333333333333,2.7725895038969273,0.6129842000082135,185.64453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,OPTICS,23,ok,0.9873384239958178,0.9958321756043346,0.9753593200729764,6,6,1,0,10.305919000005815,185.40234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN-DBSCAN,23,ok,0.9876636284658313,0.9994442386068915,0.9788736647416298,7,6,1.1666666666666667,0.22239242133644802,0.0316272000054596,185.0390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,SNN-DBSCAN,23,ok,0.6065645958240057,0.17570715474209653,0.36490301273095277,153,6,25.5,4.672425341971495,0.12942339999426622,231.140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,VDBSCAN-2007,23,ok,0.996130452735844,0.03672059625522633,0.0439368566469027,27,6,4.5,2.169925001442312,0.19058519999089185,189.76953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN+Leiden,23,ok,0.9509887043730855,0,0.28738900520792454,18,6,3,1.584962500721156,0.37497129999974277,240.15625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,StrataSCAN,42,ok,0.9932986409231527,0.9976841130152848,0.9866612923692442,8,6,1.3333333333333333,0.41503749927884376,1.2764613999897847,223.55078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,DBSCAN,42,ok,0.9797479604757647,0.46175758438968806,0.9113800583540632,347,6,57.833333333333336,5.8538293518571045,0.12895559999742545,189.4765625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,HDBSCAN,42,ok,0.9360630880304696,0.5470200457419615,0.5967005188700164,36,6,6,2.584962500721156,0.49288150000211317,185.99609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,OPTICS,42,ok,0.990678476839299,0.9926312843951123,0.9794215916783742,7,6,1.1666666666666667,0.22239242133644802,11.118518999996013,185.30078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN-DBSCAN,42,ok,0.9980615502631048,0.9993514314833688,0.9961077395461436,6,6,1,0,0.0448026999947615,184.71484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,SNN-DBSCAN,42,ok,0.49035471565950467,0.17718567860116569,0.22069105028165903,179,6,29.833333333333332,4.8988532765431,0.14107879999210127,231.65234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,VDBSCAN-2007,42,ok,0.9955813083496398,0.03672059625522633,0.04124583259602512,29,6,4.833333333333333,2.273018494406416,0.15177219999895897,189.27734375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN+Leiden,42,ok,0.9580045460022101,0,0.2779559546717982,17,6,2.8333333333333335,1.5025003405291832,0.5215639000089141,240.41796875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,StrataSCAN,73,ok,0.9560475917217262,0.9979640940218397,0.9405472510569853,8,6,1.3333333333333333,0.41503749927884376,1.221942799995304,224.44921875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,DBSCAN,73,ok,0.9797110073907085,0.4650369528140989,0.9113090712673495,337,6,56.166666666666664,5.811642280460703,0.11169190000509843,189.8125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,HDBSCAN,73,ok,0.9421170849764758,0.5961263486286235,0.6839940064739232,38,6,6.333333333333333,2.662965012722429,0.581843599997228,185.39453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,OPTICS,73,ok,0.8614410254337637,0.9661976977891468,0.8817197983619848,7,6,1.1666666666666667,0.22239242133644802,10.341076199998497,185.60546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN-DBSCAN,73,ok,0.996661965911322,0.9993514314833688,0.9933762543637102,7,6,1.1666666666666667,0.22239242133644802,0.048151599999982864,185.2109375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,SNN-DBSCAN,73,ok,0.49343460374343967,0.178,0.23635787727611832,170,6,28.333333333333332,4.824428435416546,0.1414909000013722,230.2265625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,VDBSCAN-2007,73,ok,0.9928464657162693,0.03600654664484452,0.04066323227817459,38,6,6.333333333333333,2.662965012722429,0.17525050000404008,189.796875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN+Leiden,73,ok,0.9541627503275657,0,0.27848263700600634,17,6,2.8333333333333335,1.5025003405291832,0.42311780000454746,240.51953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,StrataSCAN,151,ok,0.9589499559545759,0.9951842933876643,0.93926366347831,11,6,1.8333333333333333,0.874469117916141,10.368891299993265,261.234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,DBSCAN,151,ok,0.9756191960396666,0.48845346396081174,0.9058455821092973,333,6,55.5,5.794415866350106,0.12415010000404436,188.73828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,HDBSCAN,151,ok,0.9513207985010387,0.5472154963680387,0.6652156017902234,37,6,6.166666666666667,2.6244908649077936,0.47000840000691824,185.421875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,OPTICS,151,ok,0.9797880959410253,0.9853749417792269,0.9578773050906131,8,6,1.3333333333333333,0.41503749927884376,10.357226500011166,185.21875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN-DBSCAN,151,ok,0.9961184754365083,0.99870322341608,0.9922211016521817,6,6,1,0,0.04445229998964351,184.92578125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,SNN-DBSCAN,151,ok,0.6071582793762434,0.17513368983957217,0.33015886775205283,171,6,28.5,4.832890014164741,0.12702089999220334,229.421875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,VDBSCAN-2007,151,ok,0.9964059302761602,0.03529197744224122,0.041928528452775754,28,6,4.666666666666667,2.222392421336448,0.16956730000674725,189.5078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,kNN+Leiden,151,ok,0.9536786209195331,0,0.29702773583406183,18,6,3,1.584962500721156,0.37794010000652634,240.3203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.75,7200,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,StrataSCAN,23,ok,0.9593872056493652,0.9992899262140718,0.948530698002549,7,6,1.1666666666666667,0.22239242133644802,1.6591705000028014,236.046875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,DBSCAN,23,ok,0.979411906605545,0.5424445544109047,0.8516820007405931,1014,6,169,7.400879436282184,0.2229966000013519,192.6953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,HDBSCAN,23,ok,0.9343835772764102,0.5693469333686582,0.4355975991142363,103,6,17.166666666666668,4.1015380264620624,3.3706882999977097,186.46484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,OPTICS,23,ok,0.985504039194334,0.9929527180155847,0.9647695683444021,10,6,1.6666666666666667,0.7369655941662062,23.014974099991377,186.66015625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN-DBSCAN,23,ok,0.9841969001405855,0.7829614604462475,0.9320933132436223,806,6,134.33333333333334,7.0696735278068115,0.0830561999900965,186.84375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,SNN-DBSCAN,23,ok,0.5657205641419126,0.17356670032536745,0.19712177420641394,448,6,74.66666666666667,6.222392421336448,0.34803649999958,248.484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,VDBSCAN-2007,23,ok,0.9321748831239148,0.001603651390859187,0.0035954205695903113,154,6,25.666666666666668,4.681824039973745,0.5001364000054309,190.609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN+Leiden,23,ok,0.9482904273121188,0,0.08946414269846595,31,6,5.166666666666667,2.3692338096657193,3.224621000001207,276.7578125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,StrataSCAN,42,ok,0.9919505947321231,0.9989189189189189,0.9839048725786992,9,6,1.5,0.5849625007211562,1.8793167999974685,244.0546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,DBSCAN,42,ok,0.9809910478560498,0.5346660033467505,0.8556534015481889,1049,6,174.83333333333334,7.449836461856111,0.3365955000044778,191.94140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,HDBSCAN,42,ok,0.9344243587546145,0.5468897161053057,0.41428171156386345,106,6,17.666666666666668,4.142957953842043,3.1599265999975614,186.9765625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,OPTICS,42,ok,0.9876304038144424,0.9959112873249907,0.9718273681679318,8,6,1.3333333333333333,0.41503749927884376,20.579617399998824,189.0078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN-DBSCAN,42,ok,0.9874258591744983,0.7807172694087985,0.9383614068795734,816,6,136,7.087462841250339,0.07462569999916013,184.9453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,SNN-DBSCAN,42,ok,0.4916030110050497,0.17396184062850728,0.13801347144971168,471,6,78.5,6.294620748891627,0.270640499991714,246.21484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,VDBSCAN-2007,42,ok,0.9953112633133344,0.04146769026174213,0.004796387512784239,78,6,13,3.700439718141092,0.35297710000304505,190.21484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN+Leiden,42,ok,0.9756638834514543,0,0.07480849608791318,27,6,4.5,2.169925001442312,1.2376279000018258,275.8203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,StrataSCAN,73,ok,0.9733572979071056,0.998764974681981,0.9552761783017846,8,6,1.3333333333333333,0.41503749927884376,1.2212153000000399,236,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,DBSCAN,73,ok,0.964186606601571,0.5427067872082041,0.8274589691355653,1006,6,167.66666666666666,7.3894520890843705,0.21025100001133978,193.0546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,HDBSCAN,73,ok,0.9197009935980538,0.5529900406413291,0.34633115487476224,103,6,17.166666666666668,4.1015380264620624,3.121706899997662,186.265625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,OPTICS,73,ok,0.8795030226567743,0.9898369615278333,0.8777019012404058,7,6,1.1666666666666667,0.22239242133644802,20.769980299999588,186.06640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN-DBSCAN,73,ok,0.9782384165217262,0.787878787878788,0.9218228756740373,785,6,130.83333333333334,7.031586343057834,0.07525619999796618,186.296875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,SNN-DBSCAN,73,ok,0.47185910677145393,0.18141172525568655,0.13411543321321867,448,6,74.66666666666667,6.222392421336448,0.2849886000039987,242.8046875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,VDBSCAN-2007,73,ok,0.994761220409988,0.041112454655380895,0.004922140642806692,96,6,16,4,0.40699879999738187,190.0078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN+Leiden,73,ok,0.9512293959977933,0,0.07687025238352058,28,6,4.666666666666667,2.222392421336448,1.7488875999988522,275.7109375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,StrataSCAN,151,ok,0.9919537829207877,0.9986722247954299,0.9838204767333479,8,6,1.3333333333333333,0.41503749927884376,1.2853497000032803,236.23046875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,DBSCAN,151,ok,0.9687733665124781,0.5398828301036502,0.8345298753012029,1025,6,170.83333333333334,7.416445693671652,0.2056245999992825,191.6640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,HDBSCAN,151,ok,0.9178854084447563,0.525395958492627,0.3978100490277602,112,6,18.666666666666668,4.222392421336448,3.3008694000018295,186.890625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,OPTICS,151,ok,0.9715933607423665,0.991921255455474,0.9366826214247606,9,6,1.5,0.5849625007211562,21.377725300000748,187.0390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN-DBSCAN,151,ok,0.9868742518913146,0.784650587043775,0.9370951790614422,793,6,132.16666666666666,7.046214554982822,0.08293590000539552,186.7578125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,SNN-DBSCAN,151,ok,0.5897308727402241,0.16973380606674546,0.19231835812670864,455,6,75.83333333333333,6.244760234364902,0.30889709999610204,248.6484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,VDBSCAN-2007,151,ok,0.9947547818139512,0.0392156862745098,0.005231403806333276,82,6,13.666666666666666,3.7725895038969273,0.3906096999999136,190.26953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,kNN+Leiden,151,ok,0.9302989464977182,0,0.07622780300764148,28,6,4.666666666666667,2.222392421336448,1.0748339999991003,276.3515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.9,18000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,StrataSCAN,23,ok,0.9811146316450077,0.9988879133743049,0.9621729837946055,7,6,1.1666666666666667,0.22239242133644802,2.86113689999911,261.04296875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,DBSCAN,23,ok,0.9668833588535101,0.46419830702561915,0.6879643311841372,2137,6,356.1666666666667,8.476408691938655,0.5742617000069004,197.515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,HDBSCAN,23,ok,0.9185141212856128,0.5615746971736204,0.25512126792710416,223,6,37.166666666666664,5.215937399199149,12.57104119998985,189.16015625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,OPTICS,23,ok,0.978520214270946,0.9943901077921696,0.9435552735564254,12,6,2,1,44.36978799999633,193.9921875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN-DBSCAN,23,ok,0.9809331426124256,0.7244279506927997,0.8694486222421823,1959,6,326.5,8.350939181546432,0.16370770000503398,194.69140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,SNN-DBSCAN,23,ok,0.5628277482465696,0.1704205807002562,0.11851676866404352,914,6,152.33333333333334,7.251087854336913,0.5770331999956397,277.4140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,VDBSCAN-2007,23,ok,0.9905776594727277,0.022433580989274667,0.0009568602271101504,67,6,11.166666666666666,3.481126689736616,0.729834599987953,197.48828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN+Leiden,23,ok,0.8691084797135491,0,0.024224444201589864,34,6,5.666666666666667,2.5025003405291835,5.233881100008148,337.953125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,StrataSCAN,42,ok,0.9374740932288246,0.9990049168812924,0.9293209183278626,9,6,1.5,0.5849625007211562,2.6376954000006663,265.4140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,DBSCAN,42,ok,0.9649307110991835,0.4615384615384615,0.6782702721776862,2109,6,351.5,8.457380879072534,0.4719335999980103,196.40625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,HDBSCAN,42,ok,0.8854326143849182,0.5553466956723763,0.21072232889284248,192,6,32,5,12.356988700004877,191.83203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,OPTICS,42,ok,0.9808115316587301,0.994728108433558,0.949807807108225,12,6,2,1,43.6152648999996,191.94140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN-DBSCAN,42,ok,0.9784364369283493,0.7283172513804451,0.8643089543178512,1926,6,321,8.326429487122303,0.2218262000096729,195.11328125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,SNN-DBSCAN,42,ok,0.5015691865639929,0.16754878374766108,0.073711442000079,867,6,144.5,7.174925682500679,0.5672825999936322,273.2265625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,VDBSCAN-2007,42,ok,0.9936511047559184,0.024947304593884445,0.0009856495572712492,69,6,11.5,3.523561956057013,0.7501238999975612,197.703125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN+Leiden,42,ok,0.8043980945412289,0,0.025735643962524084,36,6,6,2.584962500721156,5.34815879999951,336.94140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,StrataSCAN,73,ok,0.9858208492392412,0.9989616998873957,0.971705880931626,9,6,1.5,0.5849625007211562,2.706502200002433,270.21875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,DBSCAN,73,ok,0.9491029415666642,0.47082494969818917,0.6699596181902377,2093,6,348.8333333333333,8.446394095534552,0.46436469999025576,197.89453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,HDBSCAN,73,ok,0.8733828139028085,0.5442162392252846,0.22687848174370148,198,6,33,5.044394119358453,12.145369400008349,189.25390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,OPTICS,73,ok,0.8886165596253915,0.992258045632162,0.887109553051096,12,6,2,1,44.33000339999853,195.84375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN-DBSCAN,73,ok,0.9705282635869631,0.7230467656118735,0.8458679292394538,1912,6,318.6666666666667,8.315904307259592,0.1775424999941606,189.515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,SNN-DBSCAN,73,ok,0.48410018402328586,0.17396632566069906,0.08174347100996614,886,6,147.66666666666666,7.206200387833862,0.6723872000002302,276.91796875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,VDBSCAN-2007,73,ok,0.9914472495646961,0.02203522165350915,0.000977271900994474,77,6,12.833333333333334,3.6818240399737454,0.7721195999911288,198.15625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN+Leiden,73,ok,0.7666322667760039,0,0.026141642237199995,36,6,6,2.584962500721156,3.078808199992636,337.4921875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,StrataSCAN,151,ok,0.9872566812641949,0.9989614568858333,0.9744734148873675,10,6,1.6666666666666667,0.7369655941662062,3.3720850000099745,270.35546875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,DBSCAN,151,ok,0.9598989568032698,0.4592165431486946,0.6701723496003497,2113,6,352.1666666666667,8.460114551213785,0.470441600002232,197.73828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,HDBSCAN,151,ok,0.9579305903501023,0.5565356856455493,0.2704833872842654,224,6,37.333333333333336,5.222392421336448,12.557951400012826,189.94140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,OPTICS,151,ok,0.9749485017207192,0.9962793695435637,0.9430680633768493,9,6,1.5,0.5849625007211562,44.80487439999706,192.875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN-DBSCAN,151,ok,0.9807084391998617,0.7292150487691593,0.8657465495608533,1882,6,313.6666666666667,8.29308841200738,0.16872080000757705,195.90234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,SNN-DBSCAN,151,ok,0.5880209021175846,0.1668717564603285,0.11285851683692238,934,6,155.66666666666666,7.282316238988505,0.5731249000091339,275.265625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,VDBSCAN-2007,151,ok,0.9889224726995044,0.025974025974025976,0.0009653570503802756,69,6,11.5,3.523561956057013,0.8733528000011574,197.875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,kNN+Leiden,151,ok,0.7741801732773964,0,0.02524821310955529,35,6,5.833333333333333,2.5443205162238103,5.644628499998362,338.81640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.95,36000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,StrataSCAN,23,ok,0.9420181106980569,0.9993306178255049,0.9154793296831966,7,6,1.1666666666666667,0.22239242133644802,5.375086100000772,324.25390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,DBSCAN,23,ok,0.9497748532762299,0.4587180134587729,0.5264300763529018,4399,6,733.1666666666666,9.517997385188968,1.1454605999897467,208.01171875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,HDBSCAN,23,ok,0.897984970629957,0.5458010523263039,0.10737797626232466,420,6,70,6.129283016944966,48.486395900006755,198.2109375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,OPTICS,23,ok,0.9796706800333536,0.9960548321159536,0.9395853035619314,16,6,2.6666666666666665,1.4150374992788437,100.10858249999,200.9453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN-DBSCAN,23,ok,0.9676074211239242,0.6984936268829665,0.7525725480215957,4171,6,695.1666666666666,9.441215096168069,0.4029927000083262,202.65234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,SNN-DBSCAN,23,ok,0.5905956798229314,0.17436696532917803,0.06978761194153726,1831,6,305.1666666666667,8.25345357507618,1.336244699996314,298.6015625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,VDBSCAN-2007,23,ok,0.975574180305487,0.019801980198019802,0.00021782361263053242,130,6,21.666666666666668,4.437405312307298,1.7627730999956839,212.65234375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN+Leiden,23,ok,0.8555953501715852,0,0.008179929137982135,46,6,7.666666666666667,2.9385994553358565,24.856688400002895,458.19921875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,StrataSCAN,42,ok,0.9796865448371563,0.9992444761225946,0.958712308739922,12,6,2,1,3.588202699989779,309.50390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,DBSCAN,42,ok,0.9461684395687348,0.4556833930967728,0.5235500232494343,4376,6,729.3333333333334,9.510434522071401,1.1088230999885127,208.703125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,HDBSCAN,42,ok,0.8774041100489568,0.551427421767795,0.14145687970093776,443,6,73.83333333333333,6.206200387833862,48.38315069999953,193.23828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,OPTICS,42,ok,0.9812715768944956,0.995334525939177,0.9370753457369855,18,6,3,1.584962500721156,101.29931940000097,201.23046875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN-DBSCAN,42,ok,0.9655137961871586,0.7017190201862349,0.7468206007035266,4096,6,682.6666666666666,9.415037499278844,0.5382850000023609,199.609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,SNN-DBSCAN,42,ok,0.551250212568704,0.17225863503953392,0.05731846584450948,1891,6,315.1666666666667,8.299971147228606,1.3646597000042675,305.4453125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,VDBSCAN-2007,42,ok,0.9798720553957875,0.020499950653488797,0.00021781973784731958,110,6,18.333333333333332,4.196397212803503,1.9013943000027211,212.4140625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN+Leiden,42,ok,0.7151964581414775,0,0.00774952130291138,43,6,7.166666666666667,2.841302253980942,41.25347340000735,466.2265625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,StrataSCAN,73,ok,0.9747462460689795,0.9992159993157812,0.9493376234170232,9,6,1.5,0.5849625007211562,3.423991000003298,309.04296875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,DBSCAN,73,ok,0.9574667030962032,0.45248330136895704,0.5174203968620212,4435,6,739.1666666666666,9.52975588846727,1.5444130999967456,208.3984375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,HDBSCAN,73,ok,0.9234931561469919,0.5507395976341134,0.11141237857354894,412,6,68.66666666666667,6.1015380264620624,48.518196799996076,197.98828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,OPTICS,73,ok,0.8797558407507414,0.9949630432921435,0.8646718313509779,15,6,2.5,1.3219280948873624,102.72150629998941,202.8828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN-DBSCAN,73,ok,0.9678377773197293,0.699650832167897,0.7507254792230325,4147,6,691.1666666666666,9.432889831184806,0.49711079998814967,201.15625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,SNN-DBSCAN,73,ok,0.4757778475979129,0.17671401699422717,0.04980133038678942,1930,6,321.6666666666667,8.329422631434287,1.3877417000039713,302.734375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,VDBSCAN-2007,73,ok,0.9811245666259688,0.020332482621508437,0.00022295247947986134,119,6,19.833333333333332,4.309855262586788,2.0231205000018235,212.93359375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN+Leiden,73,ok,0.6052828269662452,0,0.00806464627647774,45,6,7.5,2.9068905956085187,22.426707800012082,458.8125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,StrataSCAN,151,ok,0.978784745736338,0.9993372055731746,0.9573831301448555,9,6,1.5,0.5849625007211562,4.152318700012984,309.1796875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,DBSCAN,151,ok,0.9457235981678157,0.45576832125298344,0.5068555461693417,4319,6,719.8333333333334,9.491519100485865,1.0889903999923263,209.015625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,HDBSCAN,151,ok,0.9059651481235856,0.574720578233019,0.1518896031820618,422,6,70.33333333333333,6.136136687986029,48.242248599999584,195.25,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,OPTICS,151,ok,0.9622741028439158,0.9945859348738745,0.8976669419537517,18,6,3,1.584962500721156,102.32999749999726,203.1640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN-DBSCAN,151,ok,0.9716861059223824,0.7007578912301158,0.7527630684536049,4094,6,682.3333333333334,9.414332886302255,0.415873100006138,203.81640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,SNN-DBSCAN,151,ok,0.5718168088990983,0.1757169005491153,0.07158166927626636,1859,6,309.8333333333333,8.275348554198326,1.333395900001051,306.49609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,VDBSCAN-2007,151,ok,0.975356028961888,0.021057972852974755,0.00021816236264030186,107,6,17.833333333333332,4.15650448567999,1.9814419000031194,212.30078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,kNN+Leiden,151,ok,0.4916981965052176,0,0.008215510015869886,45,6,7.5,2.9068905956085187,7.318409200001042,456.7734375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.975,72000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,23,ok,0.9548542133721397,0.9993879705327464,0.9095500615190097,15,6,2.5,1.3219280948873624,13.426329900001292,410.1875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,23,ok,0.9234754730671487,0.4748112771529811,0.3281967473031399,11287,6,1881.1666666666667,10.877411958361881,3.6907541999971727,237.8828125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,23,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,23,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,23,ok,0.9513666427550493,0.684987307397131,0.548198680493948,10718,6,1786.3333333333333,10.802785599990138,1.7553501999936998,219.8203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,23,ok,0.5157018778143425,0.17537431814227672,0.026015367054586545,4807,6,801.1666666666666,9.64595858741674,4.57486219999555,359.7734375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,23,ok,0.9291285631498649,0.02194508733079139,0.000029537640733309246,378,6,63,5.977279923499917,7.507686400000239,254.3046875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,23,ok,0.30142301755281803,0,0.001779018999605588,58,6,9.666666666666666,3.273018494406416,134.88893210000242,831.74609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,23,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,42,ok,0.9677926441339534,0.9996379953360329,0.9367536842028726,8,6,1.3333333333333333,0.41503749927884376,12.076152499997988,408.609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,42,ok,0.9272686221396893,0.47308621664695905,0.32794137271067125,11303,6,1883.8333333333333,10.879455617017408,4.535636699991301,237.5703125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,42,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,42,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,42,ok,0.9473705587522936,0.6836565096952908,0.5432878911001529,10746,6,1791,10.806549621985962,1.7541410999983782,220.06640625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,42,ok,0.49933154424910137,0.17454653430878156,0.021699950735888648,4800,6,800,9.643856189774725,5.365453399994294,360.13671875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,42,ok,0.9345683278114411,0.020593821853443967,0.00002933436665586439,347,6,57.833333333333336,5.8538293518571045,7.469726399998763,255.390625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,42,ok,0.27753563547401483,0,0.0017074080765928415,57,6,9.5,3.2479275134435857,86.87785540000186,834.53515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,42,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,73,ok,0.96006074582553,0.9995059565915496,0.9202862591790192,11,6,1.8333333333333333,0.874469117916141,16.38461670000106,506.03515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,73,ok,0.9378877655838348,0.474595857783028,0.33007348458737135,11108,6,1851.3333333333333,10.85434896109769,4.465469100003247,236.53515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,73,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,73,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,73,ok,0.9523139673895549,0.6869446040939033,0.5469632172984462,10589,6,1764.8333333333333,10.785316229899705,1.7676957000076072,219.74609375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,73,ok,0.4254965826859663,0.1791116422056766,0.018838210011027364,4794,6,799,9.642051692927977,4.847203500001342,362.03515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,73,ok,0.9159793397453241,0.021604338630800062,0.000028138251469949225,349,6,58.166666666666664,5.862120725488496,6.256127899992862,254.4765625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,73,ok,0.15755489804227915,0,0.0017588380139601152,58,6,9.666666666666666,3.273018494406416,95.47985109999718,831.5078125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,73,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,StrataSCAN,151,ok,0.9594049666778846,0.9994273073338349,0.9185376764752982,15,6,2.5,1.3219280948873624,15.642996099995798,502.515625,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,DBSCAN,151,ok,0.9259967110512574,0.47365107644078613,0.32311312665880054,11133,6,1855.5,10.857592285697526,4.8520198000042,237.83203125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,HDBSCAN,151,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,OPTICS,151,timeout,,,,,,,,,,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN-DBSCAN,151,ok,0.9531228543272204,0.6874638639184217,0.5440840255321485,10560,6,1760,10.78135971352466,1.9646350999973947,219.55859375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,SNN-DBSCAN,151,ok,0.5153367537826621,0.17333968615034662,0.025173808816623202,4672,6,778.6666666666666,9.604862058158862,5.4890551999997115,361.6328125,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,VDBSCAN-2007,151,ok,0.928087657987238,0.023184868822452718,0.00002920759913776307,355,6,59.166666666666664,5.886712713670888,8.771134000009624,254.1484375,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,kNN+Leiden,151,ok,0.14466737766134483,0,0.0017686695509629314,57,6,9.5,3.2479275134435857,105.92075040000782,841.57421875,, +fixed-target noise-fraction curve,gaussian_noise_curve_r4,Gaussian 4x,compact_gaussian,4,0.99,180000,AMD-DBSCAN,151,skipped_resource_limit,,,,,,,,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_summary_long.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_summary_long.csv new file mode 100644 index 0000000..72f8a61 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/03_noise_fraction_summary_long.csv @@ -0,0 +1,55 @@ +noise_fraction,method,topology,density_ratio,n,seeds_attempted,seeds_completed,completion_fraction,timeouts,resource_skips,target_f1_mean,target_f1_sd,noise_f1_mean,noise_f1_sd,pairwise_f1_mean,pairwise_f1_sd,predicted_clusters_mean,truth_clusters_mean,granularity_ratio_mean,granularity_ratio_sd,granularity_log2_ratio_mean,runtime_seconds_mean,runtime_seconds_median,peak_rss_mb_median,status_summary,metric_policy +0.5,StrataSCAN,compact_gaussian,4,3600,4,4,1,0,0,0.9543022339505864,0.03360295737002198,0.9910388741287093,0.002751900728969666,0.9313256949338933,0.04539957031073009,8.75,6,1.4583333333333333,0.36955929710139085,0.5066180528402977,0.83031364999988,0.8213262499994016,223.029296875,ok:4,completed rows only; no timeout/skip imputation +0.5,DBSCAN,compact_gaussian,4,3600,4,4,1,0,0,0.6953590567423548,0.01306101273292896,0.8672512985432079,0.001568859863050946,0.5676645822543606,0.004925903063440089,31.5,6,5.25,0.7515416254704826,2.381059847818073,0.038263424998149276,0.039100100002542604,184.07421875,ok:4,completed rows only; no timeout/skip imputation +0.5,HDBSCAN,compact_gaussian,4,3600,4,4,1,0,0,0.9738376977593803,0.011716388521570214,0.6888453893570656,0.03895652399618341,0.8804476420811382,0.01724475729887578,14.5,6,2.4166666666666665,0.3191423692521126,1.2631168549735339,0.1408074499995564,0.1390375499977381,183.619140625,ok:4,completed rows only; no timeout/skip imputation +0.5,OPTICS,compact_gaussian,4,3600,4,4,1,0,0,0.9276107402991184,0.10765802059719788,0.9557783924467034,0.053244709273239495,0.923780419134973,0.08307410627567474,6,6,1,0,0,4.766201750000619,4.682827999997244,183.890625,ok:4,completed rows only; no timeout/skip imputation +0.5,SNN-DBSCAN,compact_gaussian,4,3600,4,4,1,0,0,0.5504279284063219,0.06597173461860116,0.17122035891474105,0.015399696788377272,0.34224045969145306,0.08311461164509083,69,6,11.5,1.0886621079036352,3.5186806972323756,0.062077500002487795,0.06273355000303127,228.25390625,ok:4,completed rows only; no timeout/skip imputation +0.5,VDBSCAN-2007,compact_gaussian,4,3600,4,4,1,0,0,0.8954421589087929,0.006068152229001272,0.0791830095012282,0.011187850787523431,0.3143747425712089,0.10423226767660859,52,6,8.666666666666668,0.8498365855987978,3.110419451517668,0.07415129999935743,0.07133315000100993,184.6953125,ok:4,completed rows only; no timeout/skip imputation +0.5,AMD-DBSCAN,compact_gaussian,4,3600,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.5,kNN-DBSCAN,compact_gaussian,4,3600,4,4,1,0,0,0.5528047536245266,0.02882340376370742,0.8463033953749015,0.003957170997627399,0.41822686444423485,0.031176961370732836,46.25,6,7.708333333333333,1.4361406616345076,2.926491409868305,0.021347449997847434,0.021092299997690134,183.455078125,ok:4,completed rows only; no timeout/skip imputation +0.5,kNN+Leiden,compact_gaussian,4,3600,4,4,1,0,0,0.9772203945429766,0.004550730723473658,0,0,0.5362246384180095,0.03896963447590999,9.5,6,1.5833333333333335,0.09622504486493767,0.6609640474436812,0.21680882499276777,0.2042232999956468,226.953125,ok:4,completed rows only; no timeout/skip imputation +0.75,StrataSCAN,compact_gaussian,4,7200,4,4,1,0,0,0.9748309389757639,0.02006993223865578,0.9966663619799818,0.0013676052839672634,0.9621477364230889,0.025755369169491903,9.25,6,1.5416666666666665,0.25,0.6103774276600087,3.5866604249931697,1.3779037999920547,224.20703125,ok:4,completed rows only; no timeout/skip imputation +0.75,DBSCAN,compact_gaussian,4,7200,4,4,1,0,0,0.9775184448631072,0.0025657931950739173,0.4719706765745608,0.011895475205734524,0.9073528711943469,0.005035921730963309,338.5,6,56.416666666666664,0.995359603731608,5.817882444782154,0.12189615000170306,0.12346855000214418,189.107421875,ok:4,completed rows only; no timeout/skip imputation +0.75,HDBSCAN,compact_gaussian,4,7200,4,4,1,0,0,0.9500594878971977,0.01514519242561847,0.5728948374042517,0.029837378127421127,0.6694603350719274,0.056053090390802356,38,6,6.333333333333333,0.3600411499115476,2.6612519705620765,0.5394294250036182,0.5373625499996706,185.533203125,ok:4,completed rows only; no timeout/skip imputation +0.75,OPTICS,compact_gaussian,4,7200,4,4,1,0,0,0.9548115055524765,0.062413451215118224,0.9850090248919551,0.013282060003548547,0.9485945038009871,0.04555239241580146,7,6,1.1666666666666667,0.1360827634879543,0.21495558548793495,10.530685175002873,10.349151350004831,185.3515625,ok:4,completed rows only; no timeout/skip imputation +0.75,SNN-DBSCAN,compact_gaussian,4,7200,4,4,1,0,0,0.5493780486507983,0.06638845056630194,0.1765066307957086,0.0013185075314862552,0.28802770201019573,0.07044819368216926,168.25,6,28.041666666666664,1.8225694113693605,4.80714926702397,0.13475349999498576,0.13525109999318374,230.68359375,ok:4,completed rows only; no timeout/skip imputation +0.75,VDBSCAN-2007,compact_gaussian,4,7200,4,4,1,0,0,0.9952410392694784,0.0016327678871824536,0.0361849291493846,0.0006838765887151417,0.04194361249346954,0.001425893879229847,30.5,6,5.083333333333333,0.8443713418650367,2.3320752324769014,0.17179380000015954,0.17240890000539366,189.638671875,ok:4,completed rows only; no timeout/skip imputation +0.75,AMD-DBSCAN,compact_gaussian,4,7200,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.75,kNN-DBSCAN,compact_gaussian,4,7200,4,4,1,0,0,0.9946264050191916,0.004713465195748785,0.9992125812474273,0.000342378595802356,0.9901446900759163,0.007688703051679122,6.5,6,1.0833333333333335,0.09622504486493767,0.11119621066822401,0.04225844999746187,0.0446274999922025,184.982421875,ok:4,completed rows only; no timeout/skip imputation +0.75,kNN+Leiden,compact_gaussian,4,7200,4,4,1,0,0,0.9542086554055986,0.0028902084068935054,0,0,0.2852138331799477,0.008986758252067675,17.5,6,2.916666666666667,0.09622504486493755,1.5437314206251695,0.42439827500493266,0.4005289500055369,240.369140625,ok:4,completed rows only; no timeout/skip imputation +0.9,StrataSCAN,compact_gaussian,4,18000,4,4,1,0,0,0.9791622203023455,0.015831560497079476,0.9989115111526004,0.00027201944274855204,0.9678830564040952,0.018656072393660433,8,6,1.3333333333333333,0.1360827634879543,0.4093574801538229,1.5112630750008975,1.4722601000030409,236.138671875,ok:4,completed rows only; no timeout/skip imputation +0.9,DBSCAN,compact_gaussian,4,18000,4,4,1,0,0,0.973340731893911,0.008165891114775564,0.5399250437673774,0.003730295725212776,0.8423310616813875,0.013502622540892089,1023.5,6,170.58333333333334,3.1165626839457294,7.414153420223579,0.243866925004113,0.21662380000634585,192.318359375,ok:4,completed rows only; no timeout/skip imputation +0.9,HDBSCAN,compact_gaussian,4,18000,4,4,1,0,0,0.9265985845184587,0.009043322627464405,0.5486556621519799,0.018175513942405686,0.3985051286451555,0.03806730271838156,106,6,17.666666666666668,0.7071067811865476,4.142106607025654,3.2382977999986906,3.2303979999996955,186.677734375,ok:4,completed rows only; no timeout/skip imputation +0.9,OPTICS,compact_gaussian,4,18000,4,4,1,0,0,0.9560577066019793,0.05152959633689301,0.9926555555809707,0.002527961221501829,0.937745364794375,0.04281058074236212,8.5,6,1.4166666666666667,0.21516574145596762,0.48983950387566355,21.435574274997634,21.073852800000168,186.849609375,ok:4,completed rows only; no timeout/skip imputation +0.9,SNN-DBSCAN,compact_gaussian,4,18000,4,4,1,0,0,0.5297283886646601,0.05685693449160188,0.17466851806907668,0.004883155436561522,0.16539225924901324,0.0339588711455288,455.5,6,75.91666666666667,1.807904455030329,6.246041456482356,0.3031406749978487,0.2969428500000504,247.349609375,ok:4,completed rows only; no timeout/skip imputation +0.9,VDBSCAN-2007,compact_gaussian,4,18000,4,4,1,0,0,0.9792505371652972,0.031384853165545824,0.030849870645623004,0.019522524903232735,0.004636338132878629,0.0007176144294293123,102.5,6,17.083333333333336,5.864993448261315,4.038713315502941,0.41268050000144285,0.3988042499986477,190.2421875,ok:4,completed rows only; no timeout/skip imputation +0.9,AMD-DBSCAN,compact_gaussian,4,18000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.9,kNN-DBSCAN,compact_gaussian,4,18000,4,4,1,0,0,0.9841838569320311,0.004207027270923297,0.7840520261944023,0.0030173010318087843,0.9323431937146689,0.007517530320524751,800,6,133.33333333333334,2.2892664197818346,7.058734316774451,0.07896849999815458,0.07909605000168085,186.52734375,ok:4,completed rows only; no timeout/skip imputation +0.9,kNN+Leiden,compact_gaussian,4,18000,4,4,1,0,0,0.9513706633147712,0.018651949000165303,0,0,0.07934267354438529,0.006802406140505295,28.5,6,4.750000000000001,0.2886751345948129,2.2459859134452316,1.8214926250002463,1.493257750000339,276.0859375,ok:4,completed rows only; no timeout/skip imputation +0.95,StrataSCAN,compact_gaussian,4,36000,4,4,1,0,0,0.972916563844317,0.023773490755912022,0.9989539967572065,0.00004856220844265146,0.9594182994853653,0.020745134335145268,8.75,6,1.4583333333333335,0.20971762320196527,0.5323207542362416,2.894354875003046,2.7838195500007714,267.81640625,ok:4,completed rows only; no timeout/skip imputation +0.95,DBSCAN,compact_gaussian,4,36000,4,4,1,0,0,0.9602039920806569,0.007964131720848257,0.4639445653527411,0.005018220239111651,0.6765916427881027,0.00851169613488582,2113,6,352.1666666666667,3.0307070437746497,8.460074554439881,0.4952503999993496,0.47118760000012117,197.626953125,ok:4,completed rows only; no timeout/skip imputation +0.95,HDBSCAN,compact_gaussian,4,36000,4,4,1,0,0,0.9088150349808605,0.03789718519813662,0.5544183294292077,0.007317588515592403,0.24080136646197836,0.02698565766000839,209.25,6,34.875,2.7734688802345753,5.120680984973513,12.407837675003975,12.457470050008851,189.59765625,ok:4,completed rows only; no timeout/skip imputation +0.95,OPTICS,compact_gaussian,4,36000,4,4,1,0,0,0.9557242018189467,0.04480342862510009,0.9944139078503633,0.0016559969486601915,0.9308851742731489,0.029344648856585418,11.25,6,1.875,0.25,0.896240625180289,44.27998267499788,44.34989569999743,193.43359375,ok:4,completed rows only; no timeout/skip imputation +0.95,SNN-DBSCAN,compact_gaussian,4,36000,4,4,1,0,0,0.5341295052378583,0.04929834054938617,0.1697018616422362,0.0032325145119496026,0.09670754962775276,0.022280338055988846,900.25,6,150.04166666666666,4.9410881242750415,7.22863254091499,0.597456974999659,0.5750790500023868,276.091796875,ok:4,completed rows only; no timeout/skip imputation +0.95,VDBSCAN-2007,compact_gaussian,4,36000,4,4,1,0,0,0.9911496216232116,0.001969207394251597,0.023847533302673564,0.0019161769779563937,0.0009712846839390372,0.000012720038631162324,70.5,6,11.75,0.7391185942027823,3.552518660456097,0.7813577249944501,0.761121749994345,197.7890625,ok:4,completed rows only; no timeout/skip imputation +0.95,AMD-DBSCAN,compact_gaussian,4,36000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.95,kNN-DBSCAN,compact_gaussian,4,36000,4,4,1,0,0,0.9776515705818999,0.004880938381940941,0.7262517541135695,0.00298024632029707,0.8613430138400852,0.010541458797316737,1919.75,6,319.95833333333337,5.327036213018898,8.321590346983927,0.18294930000411114,0.17313165000086883,194.90234375,ok:4,completed rows only; no timeout/skip imputation +0.95,kNN+Leiden,compact_gaussian,4,36000,4,4,1,0,0,0.8035797535770446,0.04663380652743675,0,0,0.025337485877717305,0.0008270487109647468,35.25,6,5.875,0.15957118462605624,2.5541864645488266,4.826369149999664,5.291019950003829,337.72265625,ok:4,completed rows only; no timeout/skip imputation +0.975,StrataSCAN,compact_gaussian,4,72000,4,4,1,0,0,0.9688089118351327,0.01798924794724064,0.9992820747092638,0.000061034027758715254,0.9452280979962493,0.020260356703351388,9.25,6,1.5416666666666667,0.3435921354681383,0.5980793556946901,4.134899625001708,3.8702607000013813,309.341796875,ok:4,completed rows only; no timeout/skip imputation +0.975,DBSCAN,compact_gaussian,4,72000,4,4,1,0,0,0.9497833985272459,0.005433941152632663,0.45566325729437157,0.0025465727816985978,0.5185640106584248,0.008662780621235863,4382.25,6,730.375,8.109636471735532,9.512426724053377,1.2219217999918328,1.1271418499891297,208.55078125,ok:4,completed rows only; no timeout/skip imputation +0.975,HDBSCAN,compact_gaussian,4,72000,4,4,1,0,0,0.9012118462373728,0.01911606373980544,0.5556721624903078,0.012943839951098898,0.1280342094297183,0.022001614470806945,424.25,6,70.70833333333333,2.2042677460545215,6.143289529806729,48.40749800000049,48.434773300003144,196.619140625,ok:4,completed rows only; no timeout/skip imputation +0.975,OPTICS,compact_gaussian,4,72000,4,4,1,0,0,0.9507430501306267,0.04810040814234921,0.9952345840552872,0.0006264384534223307,0.9097498556509116,0.03565978799102112,16.75,6,2.7916666666666665,0.25,1.4767226489021297,101.61485142499441,101.81465844999911,202.056640625,ok:4,completed rows only; no timeout/skip imputation +0.975,SNN-DBSCAN,compact_gaussian,4,72000,4,4,1,0,0,0.5473601372221616,0.050354072352849645,0.1747641294780136,0.001927440079672748,0.06212226936227563,0.01037817885541914,1877.75,6,312.9583333333333,7.0990022773156936,8.28954897698435,1.355510500001401,1.3504522000002908,304.08984375,ok:4,completed rows only; no timeout/skip imputation +0.975,VDBSCAN-2007,compact_gaussian,4,72000,4,4,1,0,0,0.9779817078222829,0.0029519120148707332,0.02042309658149795,0.0005173557383579884,0.0002191895481495038,0.0000025137569740170728,116.5,6,19.416666666666664,1.724013405464768,4.275040568344394,1.917182450000837,1.9414181000029203,212.533203125,ok:4,completed rows only; no timeout/skip imputation +0.975,AMD-DBSCAN,compact_gaussian,4,72000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.975,kNN-DBSCAN,compact_gaussian,4,72000,4,4,1,0,0,0.9681612751382986,0.0025719630609718873,0.7001553426168036,0.001393315272492769,0.7507204241004399,0.002757499293092127,4127,6,687.8333333333334,6.372684764768365,9.425868828233494,0.4635654000012437,0.4564919499971438,201.904296875,ok:4,completed rows only; no timeout/skip imputation +0.975,kNN+Leiden,compact_gaussian,4,72000,4,4,1,0,0,0.6669432079461313,0.15538213489992792,0,0,0.008052401683310284,0.00021193869769179028,44.75,6,7.458333333333334,0.20971762320196521,2.898420725133459,23.963819700005843,23.64169810000749,458.505859375,ok:4,completed rows only; no timeout/skip imputation +0.99,StrataSCAN,compact_gaussian,4,180000,4,4,1,0,0,0.960528142502377,0.005368005194867799,0.999489807448541,0.00011029878599522594,0.9212819203440499,0.011336286928275617,12.25,6,2.0416666666666665,0.5672382737961705,0.9833407017424274,14.382523799999035,14.534662999998545,456.3515625,ok:4,completed rows only; no timeout/skip imputation +0.99,DBSCAN,compact_gaussian,4,180000,4,4,1,0,0,0.9286571429604826,0.006352426961711156,0.47403610700593857,0.0008092692010907128,0.3273311828149958,0.0029683749953754927,11207.75,6,1867.9583333333333,16.91228733681413,10.867202205543627,4.38596994999898,4.500552899997274,237.701171875,ok:4,completed rows only; no timeout/skip imputation +0.99,HDBSCAN,compact_gaussian,4,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +0.99,OPTICS,compact_gaussian,4,180000,4,0,0,4,0,,,,,,,,,,,,,,,timeout:4,completed rows only; no timeout/skip imputation +0.99,SNN-DBSCAN,compact_gaussian,4,180000,4,4,1,0,0,0.48896668963301804,0.04299626052511196,0.17559304520177038,0.0024900587989195653,0.02293183415453144,0.003307059162689728,4768.25,6,794.7083333333333,10.73103408775654,9.634182132069576,5.0691435749977245,5.106328449997818,360.884765625,ok:4,completed rows only; no timeout/skip imputation +0.99,VDBSCAN-2007,compact_gaussian,4,180000,4,4,1,0,0,0.926940972173467,0.007840798899631131,0.021832029159372032,0.00106894926811082,0.000029054464499221486,6.257531523452608e-7,357.25,6,59.541666666666664,2.374147020315733,5.8949856786291015,7.501168675000372,7.488706399999501,254.390625,ok:4,completed rows only; no timeout/skip imputation +0.99,AMD-DBSCAN,compact_gaussian,4,180000,4,0,0,0,4,,,,,,,,,,,,,,,skipped_resource_limit:4,completed rows only; no timeout/skip imputation +0.99,kNN-DBSCAN,compact_gaussian,4,180000,4,4,1,0,0,0.9510435058060296,0.0025516478633203473,0.6857630712761867,0.0017633421582680714,0.5456334536061739,0.0023274486237992342,10653.25,6,1775.5416666666665,15.40164433260774,10.794002791350115,1.81045552499927,1.7615229500006535,219.783203125,ok:4,completed rows only; no timeout/skip imputation +0.99,kNN+Leiden,compact_gaussian,4,180000,4,4,1,0,0,0.22029523218261424,0.08065172706472198,0,0,0.001753483660280369,0.00003180300481480206,57.5,6,9.583333333333332,0.0962250448649373,3.260473003925001,105.79184725000232,100.7003007500025,833.140625,ok:4,completed rows only; no timeout/skip imputation diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_cells.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_cells.csv new file mode 100644 index 0000000..85e9b9a --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_cells.csv @@ -0,0 +1,253 @@ +dataset,method,seed,n,dimension,declared_noise_fraction,status,target_f1,noise_f1,pairwise_f1,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,runtime_seconds,process_peak_rss_mb,peak_rss_mb,error_type,evidence_status,source_protocol +multidensity_2d,StrataSCAN,42,500000,2,0.75,ok,0.5250804661717933,0.996706601627059,0.33160650601009756,219,6,36.5,5.189824558880018,136.8984250999929,1345.27734375,1358.83984375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +multidensity_2d,DBSCAN,42,500000,2,0.75,ok,,,,,,,,20.975419200000033,1095.90234375,1020.9921875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,HDBSCAN,42,500000,2,0.75,ok,,,,,,,,2562.2543102,359.87109375,285.4921875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,OPTICS,42,500000,2,0.75,ok,,,,,,,,2384.129840999998,284.42578125,290.84375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,SNN-DBSCAN,42,500000,2,0.75,ok,,,,,,,,10.69937199999913,534.03125,529.28125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,VDBSCAN-2007,42,500000,2,0.75,ok,,,,,,,,18.916563400001905,2560.58984375,1718.93359375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,AMD-DBSCAN,42,500000,2,0.75,error,,,,,,,,,201.01171875,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN-DBSCAN,42,500000,2,0.75,ok,,,,,,,,3.8287873000008403,266.38671875,263.0078125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN+Leiden,42,500000,2,0.75,ok,,,,,,,,292.52048619999914,2097.09765625,1928.48828125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,StrataSCAN,42,500000,16,0.95,ok,0.9923784059599287,0.9996569598222084,0.9850251327391115,15,12,1.25,0.32192809488736235,170.84725630001049,759.84765625,759.59765625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +ultrasparse_16d,DBSCAN,42,500000,16,0.95,ok,,,,,,,,969.1527935000049,1468.05078125,1383.9453125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,HDBSCAN,42,500000,16,0.95,timeout,,,,,,,,,311.51171875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,OPTICS,42,500000,16,0.95,timeout,,,,,,,,,360.9296875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,SNN-DBSCAN,42,500000,16,0.95,ok,,,,,,,,135.1856093000024,537.88671875,562.95703125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,VDBSCAN-2007,42,500000,16,0.95,ok,,,,,,,,1876.6840736999948,1487.6171875,1403.703125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,AMD-DBSCAN,42,500000,16,0.95,error,,,,,,,,,275.640625,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN-DBSCAN,42,500000,16,0.95,ok,,,,,,,,118.69001240000216,344.625,344.625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN+Leiden,42,500000,16,0.95,timeout,,,,,,,,,2703.14453125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,StrataSCAN,42,500000,16,0.8,ok,0.45606267052374233,0.5383827412787555,0.1039855713950841,545,8,68.125,6.090112419664289,196.06015199999092,1434.49609375,1435.0390625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlapping_density_16d,DBSCAN,42,500000,16,0.8,ok,,,,,,,,910.5515410000007,372.0625,367.640625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,HDBSCAN,42,500000,16,0.8,timeout,,,,,,,,,341.83203125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,OPTICS,42,500000,16,0.8,timeout,,,,,,,,,361.45703125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,SNN-DBSCAN,42,500000,16,0.8,ok,,,,,,,,103.83810950000043,558.04296875,563.4140625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,VDBSCAN-2007,42,500000,16,0.8,ok,,,,,,,,908.9565308000019,1479.68359375,1301.18359375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,AMD-DBSCAN,42,500000,16,0.8,error,,,,,,,,,285.81640625,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN-DBSCAN,42,500000,16,0.8,ok,,,,,,,,94.32924099999946,345.453125,345.453125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN+Leiden,42,500000,16,0.8,timeout,,,,,,,,,2849.6953125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,StrataSCAN,42,500000,2,0.25,ok,0.8659886905703488,0.9669077253570785,0.739015241858255,332,2,166,7.3750394313469245,26.56762859999435,754.3125,764.7265625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +moons_2d,DBSCAN,42,500000,2,0.25,ok,,,,,,,,12.096676000001025,331.90625,332.765625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,HDBSCAN,42,500000,2,0.25,ok,,,,,,,,2728.7255626000006,362.95703125,288.61328125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,OPTICS,42,500000,2,0.25,ok,,,,,,,,2344.0495259,272.90234375,285.3203125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,SNN-DBSCAN,42,500000,2,0.25,ok,,,,,,,,18.445430800000395,551.7265625,529.73046875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,VDBSCAN-2007,42,500000,2,0.25,ok,,,,,,,,17.233652099999745,369.0703125,366.5234375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,AMD-DBSCAN,42,500000,2,0.25,error,,,,,,,,,216.68359375,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN-DBSCAN,42,500000,2,0.25,ok,,,,,,,,5.589672699999937,266.3359375,279.37109375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN+Leiden,42,500000,2,0.25,ok,,,,,,,,528.5239478999993,2104.328125,1934.9609375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,StrataSCAN,42,500000,2,0.75,ok,0.5810498898566705,0.9813220667194789,0.6380157224144629,62,2,31,4.954196310386875,36.176466099976096,1030.26953125,1029.3671875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +rings_2d,DBSCAN,42,500000,2,0.75,ok,,,,,,,,10.4920551000032,421.5625,400.6875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,HDBSCAN,42,500000,2,0.75,ok,,,,,,,,2260.7131257,363.77734375,289.68359375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,OPTICS,42,500000,2,0.75,ok,,,,,,,,1786.8435647000006,294.87890625,284.65625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,SNN-DBSCAN,42,500000,2,0.75,ok,,,,,,,,13.602531900003669,527.53515625,528.6171875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,VDBSCAN-2007,42,500000,2,0.75,ok,,,,,,,,13.618485700004385,577.796875,501.71484375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,AMD-DBSCAN,42,500000,2,0.75,error,,,,,,,,,203.63671875,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN-DBSCAN,42,500000,2,0.75,ok,,,,,,,,4.908101299995906,278.90234375,269.953125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN+Leiden,42,500000,2,0.75,ok,,,,,,,,244.95194800000172,2101.734375,1934.859375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,StrataSCAN,42,500000,8,0.25,ok,0.949539936483636,0.9091524412211017,0.9007924838509481,214,6,35.666666666666664,5.15650448567999,171.18654910000623,1409.01171875,1420.515625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlap_8d,DBSCAN,42,500000,8,0.25,ok,,,,,,,,190.9574513999978,369.4296875,350.50390625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,HDBSCAN,42,500000,8,0.25,ok,,,,,,,,3490.4539455999984,393.26171875,321.58984375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,OPTICS,42,500000,8,0.25,ok,,,,,,,,1592.2641393999984,350.828125,314.09375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,SNN-DBSCAN,42,500000,8,0.25,ok,,,,,,,,93.79411909999908,545.9375,545.875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,VDBSCAN-2007,42,500000,8,0.25,ok,,,,,,,,847.8293237000034,7246.953125,4180.7109375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,AMD-DBSCAN,42,500000,8,0.25,error,,,,,,,,,245.37890625,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN-DBSCAN,42,500000,8,0.25,ok,,,,,,,,70.93877340000108,314.703125,314.703125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN+Leiden,42,500000,8,0.25,ok,,,,,,,,260.2493162999999,2566.81640625,2203.9140625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,StrataSCAN,42,500000,16,0.75,ok,0.9643107080604653,0.9898755528454963,0.9398319037484589,69,8,8.625,3.108524456778169,194.50583589999587,1079.87109375,1085.30859375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +imbalanced_16d,DBSCAN,42,500000,16,0.75,ok,,,,,,,,771.1116864,364.2890625,364.1796875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,HDBSCAN,42,500000,16,0.75,timeout,,,,,,,,,318.99609375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,OPTICS,42,500000,16,0.75,timeout,,,,,,,,,360.734375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,SNN-DBSCAN,42,500000,16,0.75,ok,,,,,,,,136.82940000000053,565.1953125,549.62890625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,VDBSCAN-2007,42,500000,16,0.75,memory_limit,,,,,,,,,8192.12109375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,AMD-DBSCAN,42,500000,16,0.75,error,,,,,,,,,293.1875,,MemoryError,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN-DBSCAN,42,500000,16,0.75,ok,,,,,,,,130.87308389999998,344.9453125,344.9453125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN+Leiden,42,500000,16,0.75,ok,,,,,,,,237.53239949999988,2767.7890625,2218.390625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,StrataSCAN,42,1000000,2,0.75,ok,0.3764117512277178,0.996977390883811,0.17405130980194267,527,6,87.83333333333333,6.456696650916058,367.4698302000179,3027.59375,3032.68359375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +multidensity_2d,DBSCAN,42,1000000,2,0.75,ok,,,,,,,,31.231987100007245,2098.53125,1867.1796875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,HDBSCAN,42,1000000,2,0.75,timeout,,,,,,,,,332.74609375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,OPTICS,42,1000000,2,0.75,timeout,,,,,,,,,432.12109375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,SNN-DBSCAN,42,1000000,2,0.75,ok,,,,,,,,20.156110500000068,880.57421875,849.69921875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,VDBSCAN-2007,42,1000000,2,0.75,ok,,,,,,,,43.107746199995745,5268.56640625,3230.3125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,AMD-DBSCAN,42,1000000,2,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN-DBSCAN,42,1000000,2,0.75,ok,,,,,,,,17.208801500004483,342.6171875,345.86328125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN+Leiden,42,1000000,2,0.75,ok,,,,,,,,1789.302312499989,3975.6484375,3637.6953125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,StrataSCAN,42,1000000,16,0.95,ok,0.9937858881593152,0.9996937780111566,0.9878380887610182,14,12,1.1666666666666667,0.22239242133644802,286.40521129997796,1293.11328125,1297.92578125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +ultrasparse_16d,DBSCAN,42,1000000,16,0.95,ok,,,,,,,,3064.951137099997,4888.28125,4722.8671875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,HDBSCAN,42,1000000,16,0.95,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,OPTICS,42,1000000,16,0.95,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,SNN-DBSCAN,42,1000000,16,0.95,ok,,,,,,,,220.75234420000925,890.73828125,890.67578125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,VDBSCAN-2007,42,1000000,16,0.95,timeout,,,,,,,,,4822.16015625,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,AMD-DBSCAN,42,1000000,16,0.95,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN-DBSCAN,42,1000000,16,0.95,ok,,,,,,,,210.03308429999743,500.08203125,500.08203125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN+Leiden,42,1000000,16,0.95,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,StrataSCAN,42,1000000,16,0.8,ok,0.5031063321356154,0.5246102465368763,0.1530340497272585,665,8,83.125,6.377210530388552,370.4720116999815,2648.3359375,2643.66796875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlapping_density_16d,DBSCAN,42,1000000,16,0.8,ok,,,,,,,,2867.167694200005,546.2109375,542.64453125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,HDBSCAN,42,1000000,16,0.8,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,OPTICS,42,1000000,16,0.8,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,SNN-DBSCAN,42,1000000,16,0.8,ok,,,,,,,,183.54442140000174,882.4609375,897.4140625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,VDBSCAN-2007,42,1000000,16,0.8,ok,,,,,,,,2886.326231500003,3153.33984375,2748.99609375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,AMD-DBSCAN,42,1000000,16,0.8,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN-DBSCAN,42,1000000,16,0.8,ok,,,,,,,,171.79479889999493,500.22265625,500.22265625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN+Leiden,42,1000000,16,0.8,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,StrataSCAN,42,1000000,2,0.25,ok,0.8610514036404537,0.9661950583054717,0.7293424828693564,589,2,294.5,8.20212382383046,49.880403199989814,1416.6875,1417.9375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +moons_2d,DBSCAN,42,1000000,2,0.25,ok,,,,,,,,23.343163099998492,479.69140625,484.9609375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,HDBSCAN,42,1000000,2,0.25,timeout,,,,,,,,,331.1484375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,OPTICS,42,1000000,2,0.25,timeout,,,,,,,,,395.8671875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,SNN-DBSCAN,42,1000000,2,0.25,ok,,,,,,,,23.060609699998167,881.21484375,866.94140625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,VDBSCAN-2007,42,1000000,2,0.25,ok,,,,,,,,27.666594800000894,550.640625,552.59765625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,AMD-DBSCAN,42,1000000,2,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN-DBSCAN,42,1000000,2,0.25,ok,,,,,,,,8.544371500000125,350.5859375,376.71875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN+Leiden,42,1000000,2,0.25,ok,,,,,,,,1673.7106716999988,3983.1171875,3644.859375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,StrataSCAN,42,1000000,2,0.75,ok,0.5418181068712261,0.9815821809375742,0.6081827873399117,159,2,79.5,6.312882955284356,87.8063003999996,1851.72265625,1869.5859375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +rings_2d,DBSCAN,42,1000000,2,0.75,ok,,,,,,,,21.266586199999438,669.8359375,619.6328125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,HDBSCAN,42,1000000,2,0.75,timeout,,,,,,,,,333.6796875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,OPTICS,42,1000000,2,0.75,timeout,,,,,,,,,435.421875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,SNN-DBSCAN,42,1000000,2,0.75,ok,,,,,,,,22.45665989999543,899.40234375,882.58984375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,VDBSCAN-2007,42,1000000,2,0.75,ok,,,,,,,,26.244480200010003,936.35546875,811.40625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,AMD-DBSCAN,42,1000000,2,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN-DBSCAN,42,1000000,2,0.75,ok,,,,,,,,8.718840300003649,345.12109375,343.04296875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN+Leiden,42,1000000,2,0.75,ok,,,,,,,,1090.242969999992,3962.328125,3623.9921875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,StrataSCAN,42,1000000,8,0.25,ok,0.8906804860449132,0.02063727293670251,0.7867415391180684,395,6,65.83333333333333,6.040746342343309,333.0886401000025,3391.42578125,3392.99609375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlap_8d,DBSCAN,42,1000000,8,0.25,ok,,,,,,,,484.83701889999793,571.4296875,512.79296875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,HDBSCAN,42,1000000,8,0.25,timeout,,,,,,,,,399.25,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,OPTICS,42,1000000,8,0.25,timeout,,,,,,,,,486.859375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,SNN-DBSCAN,42,1000000,8,0.25,ok,,,,,,,,145.11295809999865,862.48046875,860.85546875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,VDBSCAN-2007,42,1000000,8,0.25,memory_limit,,,,,,,,,8192.51171875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,AMD-DBSCAN,42,1000000,8,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN-DBSCAN,42,1000000,8,0.25,ok,,,,,,,,133.76278850001108,439.140625,439.140625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN+Leiden,42,1000000,8,0.25,ok,,,,,,,,735.9482656000037,4884.3203125,4112.828125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,StrataSCAN,42,1000000,16,0.75,ok,0.9638869332505021,0.9895255422929814,0.9355283158900037,122,8,15.25,3.9307373375628862,476.8157404999947,2939.07421875,2934.94921875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +imbalanced_16d,DBSCAN,42,1000000,16,0.75,timeout,,,,,,,,,500.046875,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,HDBSCAN,42,1000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,OPTICS,42,1000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,SNN-DBSCAN,42,1000000,16,0.75,ok,,,,,,,,276.0305693000046,877.34765625,898.125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,VDBSCAN-2007,42,1000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,AMD-DBSCAN,42,1000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN-DBSCAN,42,1000000,16,0.75,ok,,,,,,,,247.95556190000207,500.375,500.375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN+Leiden,42,1000000,16,0.75,ok,,,,,,,,533.4442838000032,4378.375,3734.7734375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,StrataSCAN,42,2000000,2,0.75,ok,0.362511434213376,0.9969272606939809,0.16192977322505128,1175,6,195.83333333333334,7.613482540731206,858.9877524000185,4154.16796875,4151.54296875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +multidensity_2d,DBSCAN,42,2000000,2,0.75,timeout,,,,,,,,,3881.828125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,HDBSCAN,42,2000000,2,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,OPTICS,42,2000000,2,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,SNN-DBSCAN,42,2000000,2,0.75,timeout,,,,,,,,,1574.28125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,VDBSCAN-2007,42,2000000,2,0.75,ok,,,,,,,,230.77003949999926,7068.24609375,6354.0390625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,AMD-DBSCAN,42,2000000,2,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN-DBSCAN,42,2000000,2,0.75,ok,,,,,,,,35.395592399989255,558.54296875,566.4765625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN+Leiden,42,2000000,2,0.75,timeout,,,,,,,,,7581.703125,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,StrataSCAN,42,2000000,16,0.95,ok,0.9944367381844033,0.9997163962433815,0.9891057855425754,13,12,1.0833333333333333,0.11547721741993588,738.2488662000105,2307.2578125,2310.77734375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +ultrasparse_16d,DBSCAN,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,HDBSCAN,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,OPTICS,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,SNN-DBSCAN,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,VDBSCAN-2007,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,AMD-DBSCAN,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN-DBSCAN,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN+Leiden,42,2000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,StrataSCAN,42,2000000,16,0.8,ok,0.4729582132291512,0.5422153005529836,0.1347583104413667,1215,8,151.875,7.246740598493143,802.5648961999977,3186.375,3194.765625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlapping_density_16d,DBSCAN,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,HDBSCAN,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,OPTICS,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,SNN-DBSCAN,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,VDBSCAN-2007,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,AMD-DBSCAN,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN-DBSCAN,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN+Leiden,42,2000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,StrataSCAN,42,2000000,2,0.25,ok,0.8363529956292906,0.9664134948907368,0.6830125879239081,1184,2,592,9.20945336562895,112.37271049999981,2649.46875,2650.28125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +moons_2d,DBSCAN,42,2000000,2,0.25,ok,,,,,,,,44.493955700003426,777.8828125,791.4296875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,HDBSCAN,42,2000000,2,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,OPTICS,42,2000000,2,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,SNN-DBSCAN,42,2000000,2,0.25,ok,,,,,,,,46.92194230000314,1524.4609375,1553.9453125,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,VDBSCAN-2007,42,2000000,2,0.25,ok,,,,,,,,74.59077599999728,918.66796875,921.421875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,AMD-DBSCAN,42,2000000,2,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN-DBSCAN,42,2000000,2,0.25,ok,,,,,,,,19.522697299995343,499.63671875,526.87109375,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN+Leiden,42,2000000,2,0.25,timeout,,,,,,,,,7668.0859375,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,StrataSCAN,42,2000000,2,0.75,ok,0.5024824849230489,0.9818491946059498,0.5604315264744437,345,2,172.5,7.430452551665532,216.35265049998998,3526.25,3518.1875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +rings_2d,DBSCAN,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,HDBSCAN,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,OPTICS,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,SNN-DBSCAN,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,VDBSCAN-2007,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,AMD-DBSCAN,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN-DBSCAN,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN+Leiden,42,2000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,StrataSCAN,42,2000000,8,0.25,ok,0.9180051337264908,0.016999457501356247,0.8460210439059654,640,6,106.66666666666667,6.7369655941662066,647.427026099991,5068.3046875,5096.61328125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlap_8d,DBSCAN,42,2000000,8,0.25,ok,,,,,,,,1453.9884022999904,946.15625,835.8671875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,HDBSCAN,42,2000000,8,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,OPTICS,42,2000000,8,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,SNN-DBSCAN,42,2000000,8,0.25,ok,,,,,,,,293.1611264999956,1498.41015625,1500.91015625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,VDBSCAN-2007,42,2000000,8,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,AMD-DBSCAN,42,2000000,8,0.25,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN-DBSCAN,42,2000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN+Leiden,42,2000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,StrataSCAN,42,2000000,16,0.75,ok,0.9442679502043744,0.9842958872180648,0.8985810186401505,503,8,62.875,5.974414589805527,861.0120540999924,3354.546875,3357.234375,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +imbalanced_16d,DBSCAN,42,2000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,HDBSCAN,42,2000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,OPTICS,42,2000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,SNN-DBSCAN,42,2000000,16,0.75,ok,,,,,,,,453.1080374999874,1544.1953125,1550.57421875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,VDBSCAN-2007,42,2000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,AMD-DBSCAN,42,2000000,16,0.75,skipped_prior_failure,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN-DBSCAN,42,2000000,16,0.75,ok,,,,,,,,427.341439900003,809.890625,809.890625,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN+Leiden,42,2000000,16,0.75,ok,,,,,,,,1042.4271143000078,7968.9609375,7241.671875,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,StrataSCAN,42,5000000,2,0.75,ok,0.4127395325264705,0.9969738846674063,0.19452975149522006,2621,6,436.8333333333333,8.770939137607261,1180.5116822999844,5822.328125,5830.515625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +multidensity_2d,DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,HDBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,OPTICS,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,SNN-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,VDBSCAN-2007,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,AMD-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +multidensity_2d,kNN+Leiden,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,StrataSCAN,42,5000000,16,0.95,ok,0.9948276496782329,0.9997365957158867,0.9898564883390375,14,12,1.1666666666666667,0.22239242133644802,1500.7623810999794,4433.35546875,4443.98046875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +ultrasparse_16d,DBSCAN,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,HDBSCAN,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,OPTICS,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,SNN-DBSCAN,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,VDBSCAN-2007,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,AMD-DBSCAN,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN-DBSCAN,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +ultrasparse_16d,kNN+Leiden,42,5000000,16,0.95,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,StrataSCAN,42,5000000,16,0.8,ok,0.4826439628099208,0.5072393016083155,0.10973633428996749,2136,8,267,8.060695931687555,2233.2999040999857,5771.515625,5790.76953125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlapping_density_16d,DBSCAN,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,HDBSCAN,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,OPTICS,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,SNN-DBSCAN,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,VDBSCAN-2007,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,AMD-DBSCAN,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN-DBSCAN,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlapping_density_16d,kNN+Leiden,42,5000000,16,0.8,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,StrataSCAN,42,5000000,2,0.25,ok,0.810571699462795,0.9662670184026921,0.6358644106305513,3509,2,1754.5,10.776844232402167,288.8635108000017,5822.1171875,5848.48046875,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +moons_2d,DBSCAN,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,HDBSCAN,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,OPTICS,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,SNN-DBSCAN,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,VDBSCAN-2007,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,AMD-DBSCAN,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN-DBSCAN,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +moons_2d,kNN+Leiden,42,5000000,2,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,StrataSCAN,42,5000000,2,0.75,ok,0.4609903034606221,0.9820145735938667,0.5029309188092118,1120,2,560,9.129283016944967,1460.2218235999753,4531.37109375,4532.8203125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +rings_2d,DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,HDBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,OPTICS,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,SNN-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,VDBSCAN-2007,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,AMD-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN-DBSCAN,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +rings_2d,kNN+Leiden,42,5000000,2,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,StrataSCAN,42,5000000,8,0.25,ok,0.752791956761386,0.012633667119616531,0.6763661976100915,1109,6,184.83333333333334,7.530081149440554,1782.640425199992,7201.0703125,7218.5703125,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +overlap_8d,DBSCAN,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,HDBSCAN,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,OPTICS,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,SNN-DBSCAN,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,VDBSCAN-2007,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,AMD-DBSCAN,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN-DBSCAN,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +overlap_8d,kNN+Leiden,42,5000000,8,0.25,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,StrataSCAN,42,5000000,16,0.75,ok,0.949014945535581,0.9857599742808651,0.9139343863470444,891,8,111.375,6.799281621521922,1847.3848466000054,6383.27734375,6392.94140625,,accepted StrataSCAN execution envelope,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1 +imbalanced_16d,DBSCAN,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,HDBSCAN,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,OPTICS,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,SNN-DBSCAN,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,VDBSCAN-2007,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,AMD-DBSCAN,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN-DBSCAN,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 +imbalanced_16d,kNN+Leiden,42,5000000,16,0.75,pending,,,,,,,,,,,,in-progress baseline snapshot,0.2.3-seven-family-baselines-scalability-5m-v1 diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_summary.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_summary.csv new file mode 100644 index 0000000..c754885 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/04_scalability_available_to_5m_summary.csv @@ -0,0 +1,37 @@ +n,method,cells_declared,cells_ok,completion_fraction,pending,timeouts,memory_limits,errors,skipped_prior_failure,target_f1_mean_success,noise_f1_mean_success,pairwise_f1_mean_success,granularity_ratio_mean_success,runtime_seconds_median_success,runtime_seconds_max_success,process_peak_rss_mb_median_success,process_peak_rss_mb_max_success,snapshot_utc,interpretation +500000,StrataSCAN,7,7,1,0,0,0,0,0,0.7620586810895122,0.9117148698387397,0.6626103660023455,49.595238095238095,170.84725630001049,196.06015199999092,1079.87109375,1434.49609375,2026-08-06T12:45:41.617Z,accepted envelope +500000,DBSCAN,7,7,1,0,0,0,0,0,,,,,190.9574513999978,969.1527935000049,372.0625,1468.05078125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,HDBSCAN,7,4,0.5714285714285714,0,3,0,0,0,,,,,2645.4899364000003,3490.4539455999984,363.3671875,393.26171875,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,OPTICS,7,4,0.5714285714285714,0,3,0,0,0,,,,,2065.4465453000003,2384.129840999998,289.65234375,350.828125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,SNN-DBSCAN,7,7,1,0,0,0,0,0,,,,,93.79411909999908,136.82940000000053,545.9375,565.1953125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,VDBSCAN-2007,7,6,0.8571428571428571,0,0,1,0,0,,,,,433.3729435500027,1876.6840736999948,1483.650390625,7246.953125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,AMD-DBSCAN,7,0,0,0,0,0,7,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,kNN-DBSCAN,7,7,1,0,0,0,0,0,,,,,70.93877340000108,130.87308389999998,314.703125,345.453125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +500000,kNN+Leiden,7,5,0.7142857142857143,0,2,0,0,0,,,,,260.2493162999999,528.5239478999993,2104.328125,2767.7890625,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,StrataSCAN,7,7,1,0,0,0,0,0,0.7329629859042491,0.7827459242720819,0.6249597962153656,89.60119047619048,333.0886401000025,476.8157404999947,2648.3359375,3391.42578125,2026-08-06T12:45:41.617Z,accepted envelope +1000000,DBSCAN,7,6,0.8571428571428571,0,1,0,0,0,,,,,258.0345030000026,3064.951137099997,620.6328125,4888.28125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,HDBSCAN,7,0,0,0,4,0,0,3,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,OPTICS,7,0,0,0,4,0,0,3,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,SNN-DBSCAN,7,7,1,0,0,0,0,0,,,,,145.11295809999865,276.0305693000046,881.21484375,899.40234375,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,VDBSCAN-2007,7,4,0.5714285714285714,0,1,1,0,1,,,,,35.38717049999832,2886.326231500003,2044.84765625,5268.56640625,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,AMD-DBSCAN,7,0,0,0,0,0,0,7,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,kNN-DBSCAN,7,7,1,0,0,0,0,0,,,,,133.76278850001108,247.95556190000207,439.140625,500.375,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +1000000,kNN+Leiden,7,5,0.7142857142857143,0,0,0,0,2,,,,,1090.242969999992,1789.302312499989,3983.1171875,4884.3203125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,StrataSCAN,7,7,1,0,0,0,0,0,0.718716421444305,0.784059570243779,0.6105485780219231,183.2619047619048,738.2488662000105,861.0120540999924,3354.546875,5068.3046875,2026-08-06T12:45:41.617Z,accepted envelope +2000000,DBSCAN,7,2,0.2857142857142857,3,1,0,0,1,,,,,749.2411789999969,1453.9884022999904,862.01953125,946.15625,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,HDBSCAN,7,0,0,3,0,0,0,4,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,OPTICS,7,0,0,3,0,0,0,4,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,SNN-DBSCAN,7,3,0.42857142857142855,3,1,0,0,0,,,,,293.1611264999956,453.1080374999874,1524.4609375,1544.1953125,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,VDBSCAN-2007,7,2,0.2857142857142857,3,0,0,0,2,,,,,152.68040774999827,230.77003949999926,3993.45703125,7068.24609375,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,AMD-DBSCAN,7,0,0,3,0,0,0,4,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,kNN-DBSCAN,7,3,0.42857142857142855,4,0,0,0,0,,,,,35.395592399989255,427.341439900003,558.54296875,809.890625,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +2000000,kNN+Leiden,7,1,0.14285714285714285,4,2,0,0,0,,,,,1042.4271143000078,1042.4271143000078,7968.9609375,7968.9609375,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,StrataSCAN,7,7,1,0,0,0,0,0,0.6947971500335726,0.7786607164840927,0.5747454982173034,473.6726190476191,1500.7623810999794,2233.2999040999857,5822.1171875,7201.0703125,2026-08-06T12:45:41.617Z,accepted envelope +5000000,DBSCAN,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,HDBSCAN,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,OPTICS,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,SNN-DBSCAN,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,VDBSCAN-2007,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,AMD-DBSCAN,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,kNN-DBSCAN,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot +5000000,kNN+Leiden,7,0,0,7,0,0,0,0,,,,,,,,,2026-08-06T12:45:41.617Z,in-progress baseline snapshot diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_biological_by_dataset.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_biological_by_dataset.csv new file mode 100644 index 0000000..2053d3c --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_biological_by_dataset.csv @@ -0,0 +1,118 @@ +dataset,method,n,ok_fraction,target_f1,noise_f1,pairwise_f1,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,mean_target_fragments,merged_predicted_clusters,runtime_seconds,process_peak_rss_mb,evidence_block +levine,StrataSCAN,265627,1,0.1902283828568365,0.5377370903072566,0.090139049721817,4254,14,303.85714285714283,8.247249395903069,1.5,3,78.71258849999867,1075.0078125,final 13-dataset biological matrix +levine,DBSCAN,265627,1,0.0443344093419363,0.7433815122108536,0.0277976719362526,176,14,12.571428571428571,3.652076696579693,0.2142857142857142,1,257.8175896000175,469.53515625,final 13-dataset biological matrix +levine,HDBSCAN,,0,0,0,0,,,,,,,,392.43359375,final 13-dataset biological matrix +levine,OPTICS,,0,0,0,0,,,,,,,,392.18359375,final 13-dataset biological matrix +levine,SNN-DBSCAN,265627,1,0.0087550583598456,0.752721419197689,0.000004969862591392037,434,14,31,4.954196310386875,0,0,23.446206799999345,474.91796875,final 13-dataset biological matrix +levine,VDBSCAN-2007,,0,0,0,0,,,,,,,,8192.08203125,final 13-dataset biological matrix +levine,AMD-DBSCAN,,0,0,0,0,,,,,,,,459.8203125,final 13-dataset biological matrix +levine,kNN-DBSCAN,265627,1,0.0407221399646944,0.743399628175593,0.0261157710874928,239,14,17.071428571428573,4.093511885923145,0.2142857142857142,1,20.24149350001244,433.3671875,final 13-dataset biological matrix +levine,kNN+Leiden,,0,0,0,0,,,,,,,,1642.28515625,final 13-dataset biological matrix +mosmann,StrataSCAN,396460,1,0.0018351402635118,0.0895656197582277,8.34388953474588e-7,207,1,207,7.693486957499325,1,0,205.38860209999257,1474.984375,final 13-dataset biological matrix +mosmann,DBSCAN,396460,1,0,0.9419296986130274,0,1906,1,1906,10.896332403909941,0,0,60.60946039998089,414.04296875,final 13-dataset biological matrix +mosmann,HDBSCAN,,0,0,0,0,,,,,,,,370.83984375,final 13-dataset biological matrix +mosmann,OPTICS,,0,0,0,0,,,,,,,,430.74609375,final 13-dataset biological matrix +mosmann,SNN-DBSCAN,396460,1,0.2790697674418604,0.9981906032670224,0.0211740981402644,146,1,146,7.189824558880018,3,0,30.44875449998653,465.90234375,final 13-dataset biological matrix +mosmann,VDBSCAN-2007,396460,1,0.00008206834104319804,0.1362314684443483,3.1449662552438844e-9,174,1,174,7.442943495848728,1,0,218.5744619999896,1164.25,final 13-dataset biological matrix +mosmann,AMD-DBSCAN,,0,0,0,0,,,,,,,,396.62109375,final 13-dataset biological matrix +mosmann,kNN-DBSCAN,396460,1,0,0.9419212272283278,0,2009,1,2009,10.972261848733291,0,0,26.56168879999313,430.8984375,final 13-dataset biological matrix +mosmann,kNN+Leiden,,0,0,0,0,,,,,,,,2015.62109375,final 13-dataset biological matrix +nilsson,StrataSCAN,44140,1,0.5168800931315483,0.2948396257610239,0.000301146606912,198,1,198,7.6293566200796095,3,0,23.709999099985,365.37109375,final 13-dataset biological matrix +nilsson,DBSCAN,44140,1,0,0.9363599122870432,0,107,1,107,6.741466986401147,0,0,8.085213000013027,209.84375,final 13-dataset biological matrix +nilsson,HDBSCAN,44140,1,0.1036379018612521,0.3937924345295829,0.0002944285389341,28,1,28,4.807354922057604,1,0,21.57037780000246,208.3125,final 13-dataset biological matrix +nilsson,OPTICS,44140,1,0,0.9917194906059048,0,35,1,35,5.129283016944966,0,0,15.834482700010994,214.07421875,final 13-dataset biological matrix +nilsson,SNN-DBSCAN,44140,1,0.0590717299578059,0.9798306888097332,0.0038380349261178,102,1,102,6.672425341971495,0,0,2.4617666999984067,284.55859375,final 13-dataset biological matrix +nilsson,VDBSCAN-2007,44140,1,0.0191579805508647,0.1283913693655202,0.0001836990699154,27,1,27,4.754887502163468,1,0,21.447925899992697,361.921875,final 13-dataset biological matrix +nilsson,AMD-DBSCAN,,0,0,0,0,,,,,,,,8202.609375,final 13-dataset biological matrix +nilsson,kNN-DBSCAN,44140,1,0,0.9363599122870432,0,119,1,119,6.894817763307944,0,0,1.7416115999803878,211.00390625,final 13-dataset biological matrix +nilsson,kNN+Leiden,44140,1,0.1385331781140861,0,0.0010916661666102,13,1,13,3.700439718141092,1,0,9.241356700018514,432.23046875,final 13-dataset biological matrix +samusik_01,StrataSCAN,86864,1,0.2333569813423474,0.380390723636122,0.1832947976078583,468,24,19.5,4.285402218862249,1.3333333333333333,5,23.05682580001303,503.15625,final 13-dataset biological matrix +samusik_01,DBSCAN,86864,1,0.0201884814071073,0.5409827376009329,0.0420279086053353,16,24,0.6666666666666666,-0.5849625007211563,0.125,1,38.035925200005295,250.40625,final 13-dataset biological matrix +samusik_01,HDBSCAN,,0,0,0,0,,,,,,,,250.50390625,final 13-dataset biological matrix +samusik_01,OPTICS,86864,1,0.0005518763796909,0.5586658923089687,8.695684234522743e-9,2,24,0.08333333333333333,-3.584962500721156,0,0,113.54847419999714,248.34375,final 13-dataset biological matrix +samusik_01,SNN-DBSCAN,86864,1,0.032047806392341,0.5548522503914449,0.0000033651774920042577,40,24,1.6666666666666667,0.7369655941662062,0.0833333333333333,0,7.872312299994519,333,final 13-dataset biological matrix +samusik_01,VDBSCAN-2007,86864,1,0.0707974689142047,0.1574287627408675,0.1274501650091674,7,24,0.2916666666666667,-1.777607578663552,0.9583333333333334,1,100.90334340000118,6401.8828125,final 13-dataset biological matrix +samusik_01,AMD-DBSCAN,,0,0,0,0,,,,,,,,250.6953125,final 13-dataset biological matrix +samusik_01,kNN-DBSCAN,86864,1,0.0200195841806457,0.5409539284862721,0.041227483972342,21,24,0.875,-0.19264507794239588,0.125,1,7.240045200000168,247.5625,final 13-dataset biological matrix +samusik_01,kNN+Leiden,86864,1,0.3301199436507309,0,0.3925099996799491,15,24,0.625,-0.6780719051126377,1.7916666666666667,12,91.45738849999908,721.95703125,final 13-dataset biological matrix +samusik_02,StrataSCAN,87772,1,0.0124864087788378,0.5152591704832428,0.0015697366929413,2,24,0.08333333333333333,-3.584962500721156,0.0833333333333333,1,21.85112089998438,487.57421875,final 13-dataset biological matrix +samusik_02,DBSCAN,87772,1,0.0229314559539826,0.5039976468700698,0.0225714870590278,11,24,0.4583333333333333,-1.125530882083859,0.1666666666666666,1,52.28931330000341,249.35546875,final 13-dataset biological matrix +samusik_02,HDBSCAN,,0,0,0,0,,,,,,,,251.76953125,final 13-dataset biological matrix +samusik_02,OPTICS,87772,1,0.0307837768075026,0.4927231215882292,0.069004416559494,6,24,0.25,-2,0.1666666666666666,1,176.30776219999825,249.359375,final 13-dataset biological matrix +samusik_02,SNN-DBSCAN,87772,1,0.0431287867299786,0.5232543435927266,0.000008169797355451646,44,24,1.8333333333333333,0.874469117916141,0.1666666666666666,0,11.240008699998723,334.68359375,final 13-dataset biological matrix +samusik_02,VDBSCAN-2007,87772,1,0.0779519984634031,0.1771051529116045,0.129923859131274,7,24,0.2916666666666667,-1.777607578663552,0.9583333333333334,1,156.3049988999992,5672.58984375,final 13-dataset biological matrix +samusik_02,AMD-DBSCAN,,0,0,0,0,,,,,,,,252.25,final 13-dataset biological matrix +samusik_02,kNN-DBSCAN,87772,1,0.0228104398920367,0.5039255001559506,0.0221566505898429,13,24,0.5416666666666666,-0.8845227825800641,0.1666666666666666,1,11.682388400004127,249.1328125,final 13-dataset biological matrix +samusik_02,kNN+Leiden,87772,1,0.3449394751988783,0,0.5769103138627529,13,24,0.5416666666666666,-0.8845227825800641,1.375,10,64.96886210000957,722.02734375,final 13-dataset biological matrix +samusik_03,StrataSCAN,84556,1,0.0162395060007258,0.5032989112235385,0.0054313898770061,1,24,0.041666666666666664,-4.584962500721156,0.1666666666666666,1,24.88742370001273,476.25,final 13-dataset biological matrix +samusik_03,DBSCAN,84556,1,0.0225405225099669,0.4955492098335952,0.0198704934090678,19,24,0.7916666666666666,-0.33703498727757075,0.1666666666666666,1,58.71666109999933,247.52734375,final 13-dataset biological matrix +samusik_03,HDBSCAN,,0,0,0,0,,,,,,,,248.08984375,final 13-dataset biological matrix +samusik_03,OPTICS,84556,1,0.0316304224139292,0.4835212276415584,0.0641980340755496,7,24,0.2916666666666667,-1.777607578663552,0.2083333333333333,1,170.9157467999903,247.1015625,final 13-dataset biological matrix +samusik_03,SNN-DBSCAN,84556,1,0.0521601664712194,0.5152853021881376,0.00000685405576639743,51,24,2.125,1.0874628412503393,0.0833333333333333,0,12.236983799986774,318.7421875,final 13-dataset biological matrix +samusik_03,VDBSCAN-2007,84556,1,0.0767495764964953,0.1681528662420381,0.1386357679700732,9,24,0.375,-1.415037499278844,0.9583333333333334,1,148.80819230001362,5529.66015625,final 13-dataset biological matrix +samusik_03,AMD-DBSCAN,,0,0,0,0,,,,,,,,250.07421875,final 13-dataset biological matrix +samusik_03,kNN-DBSCAN,84556,1,0.0227671540388443,0.495563698591916,0.0196274525438588,23,24,0.9583333333333334,-0.061400544664143256,0.1666666666666666,1,11.803556799990474,246.671875,final 13-dataset biological matrix +samusik_03,kNN+Leiden,84556,1,0.3682520295084193,0,0.5924713808590993,14,24,0.5833333333333334,-0.777607578663552,1.5416666666666667,11,41.2910600000032,703.4609375,final 13-dataset biological matrix +samusik_04,StrataSCAN,80713,1,0.2398721565115189,0.3608446037067006,0.1543077666916614,409,24,17.041666666666668,4.090994532220593,1.0416666666666667,3,26.632738799991785,476.875,final 13-dataset biological matrix +samusik_04,DBSCAN,80713,1,0.0226833231301434,0.508314134510647,0.0187124850960159,12,24,0.5,-1,0.1666666666666666,1,53.54090389999328,244.97265625,final 13-dataset biological matrix +samusik_04,HDBSCAN,,0,0,0,0,,,,,,,,246.92578125,final 13-dataset biological matrix +samusik_04,OPTICS,80713,1,0.0021270245074803,0.536028231110466,0.000001469175081514884,5,24,0.20833333333333334,-2.263034405833794,0,0,154.45478349999755,243.68359375,final 13-dataset biological matrix +samusik_04,SNN-DBSCAN,80713,1,0.0520428525603005,0.5319554182500843,0.000009304404039484976,42,24,1.75,0.8073549220576041,0.1666666666666666,0,11.412281099997928,333.55078125,final 13-dataset biological matrix +samusik_04,VDBSCAN-2007,80713,1,0.0908255459168354,0.0048447330350233,0.1047621931417844,10,24,0.4166666666666667,-1.2630344058337937,1.5833333333333333,2,115.76930260000518,4477.93359375,final 13-dataset biological matrix +samusik_04,AMD-DBSCAN,,0,0,0,0,,,,,,,,8195.4296875,final 13-dataset biological matrix +samusik_04,kNN-DBSCAN,80713,1,0.0226815094795981,0.5083566265060241,0.0186449755106587,12,24,0.5,-1,0.1666666666666666,1,10.50940380000975,246.08203125,final 13-dataset biological matrix +samusik_04,kNN+Leiden,80713,1,0.3653755238382168,0,0.5232780102934884,13,24,0.5416666666666666,-0.8845227825800641,1.5416666666666667,11,51.29926620000333,678.546875,final 13-dataset biological matrix +samusik_05,StrataSCAN,84610,1,0.2902201926559618,0.3750186613585469,0.2734276641084646,493,24,20.541666666666668,4.360481335656756,1.4583333333333333,7,26.31023750000168,486.578125,final 13-dataset biological matrix +samusik_05,DBSCAN,84610,1,0.02009941014885,0.548662210322878,0.0126059991997007,14,24,0.5833333333333334,-0.777607578663552,0.1666666666666666,1,57.46297529998992,246.17578125,final 13-dataset biological matrix +samusik_05,HDBSCAN,,0,0,0,0,,,,,,,,250.22265625,final 13-dataset biological matrix +samusik_05,OPTICS,84610,1,0.0016219384474143,0.5836022699648775,0.00004328434575744424,6,24,0.25,-2,0,0,170.32824390000314,247.94921875,final 13-dataset biological matrix +samusik_05,SNN-DBSCAN,84610,1,0.0249510163278679,0.5801397096527434,0.000005646394869680817,50,24,2.0833333333333335,1.0588936890535685,0.0833333333333333,0,12.233339400001569,336.15625,final 13-dataset biological matrix +samusik_05,VDBSCAN-2007,84610,1,0.0706738741383156,0.1497610196494955,0.0982913305943566,12,24,0.5,-1,0.9583333333333334,1,156.75814610000816,5840.7265625,final 13-dataset biological matrix +samusik_05,AMD-DBSCAN,,0,0,0,0,,,,,,,,250.69140625,final 13-dataset biological matrix +samusik_05,kNN-DBSCAN,84610,1,0.020040153610007,0.5487070837802619,0.0124902183626987,15,24,0.625,-0.6780719051126377,0.1666666666666666,1,11.56661960000929,248.46875,final 13-dataset biological matrix +samusik_05,kNN+Leiden,84610,1,0.3337503864412345,0,0.4691793262201738,13,24,0.5416666666666666,-0.8845227825800641,1.5833333333333333,10,41.8961152999982,698.66015625,final 13-dataset biological matrix +samusik_06,StrataSCAN,77282,1,0.2769277886652468,0.3962207926519308,0.1725221762471288,577,24,24.041666666666668,4.587465007924326,1.6666666666666667,5,24.24930830000085,475.31640625,final 13-dataset biological matrix +samusik_06,DBSCAN,77282,1,0.0197778600521751,0.5494844857073052,0.025392040460477,9,24,0.375,-1.415037499278844,0.1666666666666666,1,49.1815467000124,239.56640625,final 13-dataset biological matrix +samusik_06,HDBSCAN,,0,0,0,0,,,,,,,,243.328125,final 13-dataset biological matrix +samusik_06,OPTICS,77282,1,0.0001464557703573,0.578102431529849,8.294040603959596e-8,3,24,0.125,-3,0,0,135.1731698999938,240.671875,final 13-dataset biological matrix +samusik_06,SNN-DBSCAN,77282,1,0.0752911196797188,0.5744958492591599,0.000021356395697270977,62,24,2.5833333333333335,1.369233809665719,0.2083333333333333,0,10.76081150000391,331.1484375,final 13-dataset biological matrix +samusik_06,VDBSCAN-2007,77282,1,0.0701761106064387,0.1571199999999999,0.1014265319350365,9,24,0.375,-1.415037499278844,0.9583333333333334,1,111.25664549999055,5798.00390625,final 13-dataset biological matrix +samusik_06,AMD-DBSCAN,,0,0,0,0,,,,,,,,8195.83203125,final 13-dataset biological matrix +samusik_06,kNN-DBSCAN,77282,1,0.0197357722487595,0.5495231394621638,0.02526206005155,10,24,0.4166666666666667,-1.2630344058337937,0.1666666666666666,1,9.48537700000452,243.7265625,final 13-dataset biological matrix +samusik_06,kNN+Leiden,77282,1,0.3356842389221755,0,0.4576074258784731,13,24,0.5416666666666666,-0.8845227825800641,1.5,10,36.57987600000342,660.44921875,final 13-dataset biological matrix +samusik_07,StrataSCAN,95087,1,0.2594989570998935,0.3789333530586582,0.2695164561965815,479,24,19.958333333333332,4.318919345015024,1.2916666666666667,6,35.33280739997281,527.6640625,final 13-dataset biological matrix +samusik_07,DBSCAN,95087,1,0.0191579537075642,0.5510035484150151,0.0118543160417884,19,24,0.7916666666666666,-0.33703498727757075,0.1666666666666666,1,67.18430079999962,256.75390625,final 13-dataset biological matrix +samusik_07,HDBSCAN,,0,0,0,0,,,,,,,,258.6875,final 13-dataset biological matrix +samusik_07,OPTICS,95087,1,0.0003752831264589,0.5861917620716076,0.000013433679534830226,2,24,0.08333333333333333,-3.584962500721156,0,0,212.2123390000052,254.96875,final 13-dataset biological matrix +samusik_07,SNN-DBSCAN,95087,1,0.0400960678263445,0.5834502941439962,0.00001016280065328208,53,24,2.2083333333333335,1.1429579538420431,0.125,0,13.355974599995534,341.50390625,final 13-dataset biological matrix +samusik_07,VDBSCAN-2007,95087,1,0.0752454236013454,0.1658371234875139,0.1041568908474307,10,24,0.4166666666666667,-1.2630344058337937,0.9583333333333334,1,238.32064039999383,5972.2578125,final 13-dataset biological matrix +samusik_07,AMD-DBSCAN,,0,0,0,0,,,,,,,,258.7578125,final 13-dataset biological matrix +samusik_07,kNN-DBSCAN,95087,1,0.0190888735388271,0.5510486649778938,0.0117126668127744,21,24,0.875,-0.19264507794239588,0.1666666666666666,1,12.762854699991294,256.484375,final 13-dataset biological matrix +samusik_07,kNN+Leiden,95087,1,0.3302656427851531,0,0.5137310409358562,14,24,0.5833333333333334,-0.777607578663552,1.5,9,70.73296760000812,763.37109375,final 13-dataset biological matrix +samusik_08,StrataSCAN,85741,1,0.2855126022515771,0.3816646166461664,0.2307908298538153,529,24,22.041666666666668,4.46216141139287,1.4583333333333333,7,30.572921499988297,497.18359375,final 13-dataset biological matrix +samusik_08,DBSCAN,85741,1,0.0202843951630053,0.5352112676056338,0.0136709834508927,8,24,0.3333333333333333,-1.5849625007211563,0.1666666666666666,1,60.779845800003386,250.13671875,final 13-dataset biological matrix +samusik_08,HDBSCAN,,0,0,0,0,,,,,,,,249.203125,final 13-dataset biological matrix +samusik_08,OPTICS,85741,1,0.0001968499339734,0.5674898907195134,2.344479287438168e-7,5,24,0.20833333333333334,-2.263034405833794,0,0,180.20395309999003,247.8125,final 13-dataset biological matrix +samusik_08,SNN-DBSCAN,85741,1,0.0564033980634411,0.5654884609583187,0.000007558080400972577,45,24,1.875,0.9068905956085185,0.125,0,12.55412869999418,326.734375,final 13-dataset biological matrix +samusik_08,VDBSCAN-2007,85741,1,0.0760176751853288,0.161332510795805,0.1018642187749012,7,24,0.2916666666666667,-1.777607578663552,0.9583333333333334,1,162.58657519999542,6107.1640625,final 13-dataset biological matrix +samusik_08,AMD-DBSCAN,,0,0,0,0,,,,,,,,250.11328125,final 13-dataset biological matrix +samusik_08,kNN-DBSCAN,85741,1,0.0202561856089715,0.5352394087276328,0.0135980055293349,8,24,0.3333333333333333,-1.5849625007211563,0.1666666666666666,1,11.802123200002825,248.77734375,final 13-dataset biological matrix +samusik_08,kNN+Leiden,85741,1,0.3063617014387744,0,0.4837016805565176,12,24,0.5,-1,1.4583333333333333,10,55.59339419999742,709.91796875,final 13-dataset biological matrix +samusik_09,StrataSCAN,83506,1,0.2310503891263889,0.367476800707026,0.1816515930051755,480,24,20,4.321928094887363,1.125,4,25.862417299998924,498.96484375,final 13-dataset biological matrix +samusik_09,DBSCAN,83506,1,0.0216830145590846,0.513553923161932,0.0194889301115853,14,24,0.5833333333333334,-0.777607578663552,0.1666666666666666,1,57.57687770000484,245.96875,final 13-dataset biological matrix +samusik_09,HDBSCAN,,0,0,0,0,,,,,,,,248.24609375,final 13-dataset biological matrix +samusik_09,OPTICS,83506,1,0.0003578161769149,0.5417285417285417,0.0000015458148931368763,6,24,0.25,-2,0,0,167.21796959999483,247.7890625,final 13-dataset biological matrix +samusik_09,SNN-DBSCAN,83506,1,0.0458391987861016,0.5394641119807873,0.000007311232209487274,58,24,2.4166666666666665,1.2730184944064158,0.1666666666666666,0,12.08892759999435,321.41796875,final 13-dataset biological matrix +samusik_09,VDBSCAN-2007,83506,1,0.074400234268826,0.161752859674561,0.1142316430283672,6,24,0.25,-2,0.9583333333333334,1,142.73260410000512,5611.3125,final 13-dataset biological matrix +samusik_09,AMD-DBSCAN,,0,0,0,0,,,,,,,,247.58984375,final 13-dataset biological matrix +samusik_09,kNN-DBSCAN,83506,1,0.0216046862649381,0.5135667192868418,0.0192793474958343,17,24,0.7083333333333334,-0.4974996594708167,0.1666666666666666,1,11.23267460000352,246.60546875,final 13-dataset biological matrix +samusik_09,kNN+Leiden,83506,1,0.3357420206209915,0,0.5336435877214238,12,24,0.5,-1,1.4166666666666667,8,50.14067010000872,694.921875,final 13-dataset biological matrix +samusik_10,StrataSCAN,75513,1,0.0219904061385316,0.5615596021907191,0.0145157516822756,4,24,0.16666666666666666,-2.584962500721156,0.1666666666666666,1,20.320888799993558,449.8828125,final 13-dataset biological matrix +samusik_10,DBSCAN,75513,1,0.0199290721507246,0.5618955037754932,0.0109122949318348,16,24,0.6666666666666666,-0.5849625007211563,0.1666666666666666,1,49.537889699990046,242.015625,final 13-dataset biological matrix +samusik_10,HDBSCAN,,0,0,0,0,,,,,,,,241.98828125,final 13-dataset biological matrix +samusik_10,OPTICS,75513,1,0.0001881976660492,0.5968792691653578,0.0000012321181980784983,4,24,0.16666666666666666,-2.584962500721156,0,0,140.05340659999638,240.36328125,final 13-dataset biological matrix +samusik_10,SNN-DBSCAN,75513,1,0.0635975447197422,0.5944509705207809,0.000011549055861714396,42,24,1.75,0.8073549220576041,0.1666666666666666,0,11.66570139999385,313.16015625,final 13-dataset biological matrix +samusik_10,VDBSCAN-2007,75513,1,0.0737897438086254,0.1554635234151003,0.0988200057441428,5,24,0.20833333333333334,-2.263034405833794,0.9583333333333334,1,98.7203528999962,4448.4921875,final 13-dataset biological matrix +samusik_10,AMD-DBSCAN,,0,0,0,0,,,,,,,,8194.48046875,final 13-dataset biological matrix +samusik_10,kNN-DBSCAN,75513,1,0.0198889448377701,0.5619605879407347,0.0107640958882836,19,24,0.7916666666666666,-0.33703498727757075,0.1666666666666666,1,10.862611500007915,240.19921875,final 13-dataset biological matrix +samusik_10,kNN+Leiden,75513,1,0.3003038543144979,0,0.4488789605043877,12,24,0.5,-1,1.5833333333333333,10,38.62084020000475,650.17578125,final 13-dataset biological matrix diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_algorithm.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_algorithm.csv new file mode 100644 index 0000000..7c01233 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_algorithm.csv @@ -0,0 +1,10 @@ +method,fields_declared,fields_ok_equivalent,completion_fraction,best_cluster_f1_mean_failure_adjusted,target_f1_mean_failure_adjusted,noise_f1_mean_failure_adjusted,pairwise_f1_mean_failure_adjusted,granularity_ratio_mean_success,granularity_log2_ratio_mean_success,spurious_background_majority_clusters_mean_success,runtime_seconds_median_success,process_peak_rss_mb_median_success,primary_endpoint,evidence_block +StrataSCAN,359,359,1,0.896286645461132,0.896286645461132,0.07199544475924376,0.00471261546928593,9.016713091922005,3.024013894883227,7.972144846796658,2.2820712000248022,250.7734375,best_cluster_f1,final 359-field Gaia matrix +DBSCAN,359,359,1,0.8330034227524299,0.8330034227524299,0.9425212455589804,0.026371329345682416,62.88857938718663,5.7533360522898205,61.710306406685234,0.2799593999807257,195.66015625,best_cluster_f1,final 359-field Gaia matrix +HDBSCAN,359,359,1,0.8770708299252581,0.8770708299252581,0.12779795412240183,0.00007495798018560566,2.8467966573816157,1.376639116648116,1.966573816155989,0.3219739000196568,195.5625,best_cluster_f1,final 359-field Gaia matrix +OPTICS,359,359,1,0.5999988952256904,0.5999988952256904,0.9765443330827241,0.11758448614359661,31.76044568245125,4.781303746871894,30.493036211699163,0.9044545000069776,195.66015625,best_cluster_f1,final 359-field Gaia matrix +SNN-DBSCAN,359,359,1,0.9607758608124543,0.9607758608124543,0.96476148740925,0.31152045558164543,52.07242339832869,5.566976624585845,50.80222841225627,0.2354963000107091,234.59765625,best_cluster_f1,final 359-field Gaia matrix +VDBSCAN-2007,359,359,1,0.7828172628606396,0.7828172628606396,0.14113208330982743,0.0000685799878669652,5.495821727019498,2.237241579268644,4.7075208913649025,0.6015488999837544,208.5078125,best_cluster_f1,final 359-field Gaia matrix +AMD-DBSCAN,359,359,1,0.9125788103496493,0.9125788103496493,0.08632007705772922,0.00011527599034652966,40.409470752089135,5.186525376614609,39.41782729805014,0.7671590000099968,855.328125,best_cluster_f1,final 359-field Gaia matrix +kNN-DBSCAN,359,359,1,0.8272208718232495,0.8272208718232495,0.9425015701408992,0.03000626442210181,65.33426183844011,5.808582343947085,64.12534818941504,0.1944821999932173,195.61328125,best_cluster_f1,final 359-field Gaia matrix +kNN+Leiden,359,359,1,0.8835799298494339,0.8835799298494339,0,0.0003789614274733682,8.108635097493035,3.0066349874274265,7.225626740947075,0.6457976000092458,250.4765625,best_cluster_f1,final 359-field Gaia matrix diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_field.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_field.csv new file mode 100644 index 0000000..4ccecf6 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/05_gaia_by_field.csv @@ -0,0 +1,3232 @@ +field,method,n,ok_fraction,best_cluster_f1,target_f1,noise_f1,pairwise_f1,best_cluster_precision,best_cluster_recall,predicted_clusters,truth_clusters,granularity_ratio,granularity_log2_ratio,spurious_background_majority_clusters,runtime_seconds,process_peak_rss_mb +UBC1001__unsupervised_field,StrataSCAN,5829,1,0.9824561403508772,0.9824561403508772,0.0775476387738193,0.000049448689626076986,1,0.9655172413793104,8,1,8,3,7,2.224055300001055,246.5859375 +UBC1001__unsupervised_field,DBSCAN,5829,1,0.7391304347826086,0.7391304347826086,0.9424074242562096,0.0081959803537529,1,0.5862068965517241,33,1,33,5.044394119358453,32,0.2541641999850981,196.328125 +UBC1001__unsupervised_field,HDBSCAN,5829,1,1,1,0.0020668274199104,0.00004838190819318419,1,1,2,1,2,1,1,0.2525879000022542,194.84765625 +UBC1001__unsupervised_field,OPTICS,5829,1,0.4736842105263158,0.4736842105263158,0.9752619068579982,0.0425029515938606,1,0.3103448275862069,27,1,27,4.754887502163468,26,0.7852895999967586,195.609375 +UBC1001__unsupervised_field,SNN-DBSCAN,5829,1,1,1,0.9737237901442094,0.3740211883924458,1,1,37,1,37,5.20945336562895,36,0.2106730999948922,237.69140625 +UBC1001__unsupervised_field,VDBSCAN-2007,5829,1,0.9824561403508772,0.9824561403508772,0.1138026337180946,0.000051117519583216416,1,0.9655172413793104,4,1,4,2,3,0.4072172000014689,196.07421875 +UBC1001__unsupervised_field,AMD-DBSCAN,5829,1,0.9824561403508772,0.9824561403508772,0.0797749089705395,0.00008110213945512878,1,0.9655172413793104,48,1,48,5.584962500721156,47,0.608071700000437,701.90234375 +UBC1001__unsupervised_field,kNN-DBSCAN,5829,1,0.4736842105263158,0.4736842105263158,0.9424074242562096,0.0039628482972136,1,0.3103448275862069,35,1,35,5.129283016944966,33,0.175111199991079,193.15625 +UBC1001__unsupervised_field,kNN+Leiden,5829,1,1,1,0,0.0002745325424181,1,1,7,1,7,2.807354922057604,6,0.7383111999952234,246.828125 +UBC1002__unsupervised_field,StrataSCAN,14269,1,0.7222222222222222,0.7222222222222222,0.0436308581653017,0.00002288151747271425,1,0.5652173913043478,13,1,13,3.700439718141092,10,5.646570899989456,261.99609375 +UBC1002__unsupervised_field,DBSCAN,14269,1,0.8403361344537814,0.8403361344537814,0.939750950712102,0.027349854878321,1,0.7246376811594203,136,1,136,7.087462841250339,135,0.591405900020618,195.16015625 +UBC1002__unsupervised_field,HDBSCAN,14269,1,1,1,0.1266490765171504,0.00007239587881059496,1,1,5,1,5,2.321928094887362,4,1.315823199984152,196.2265625 +UBC1002__unsupervised_field,OPTICS,14269,1,0.2077922077922077,0.2077922077922077,0.9725504322766572,0.0090585571012617,1,0.1159420289855072,67,1,67,6.066089190457772,66,2.123781999980565,197.51953125 +UBC1002__unsupervised_field,SNN-DBSCAN,14269,1,1,1,0.9586007113783872,0.3647388059701492,1,1,109,1,109,6.768184324776926,108,0.4796198999974876,252.0546875 +UBC1002__unsupervised_field,VDBSCAN-2007,14269,1,1,1,0.1282541356356686,0.0000721892799227027,1,1,13,1,13,3.700439718141092,12,1.0469543999934103,205.0859375 +UBC1002__unsupervised_field,AMD-DBSCAN,14269,1,0.9852941176470588,0.9852941176470588,0.051317233809001,0.00009632031772548478,1,0.9710144927536232,111,1,111,6.794415866350106,110,3.1270224999752827,3288.6640625 +UBC1002__unsupervised_field,kNN-DBSCAN,14269,1,0.8403361344537814,0.8403361344537814,0.939750950712102,0.0484639882895179,1,0.7246376811594203,142,1,142,7.149747119504682,141,0.3833447000070009,196.73046875 +UBC1002__unsupervised_field,kNN+Leiden,14269,1,1,1,0,0.0003348488359471,1,1,9,1,9,3.169925001442312,8,2.206997200002661,282.29296875 +UBC1003__unsupervised_field,StrataSCAN,8844,1,0.9885057471264368,0.9885057471264368,0.0513672091221078,0.0001068499389635,1,0.9772727272727272,9,1,9,3.169925001442312,8,2.945360300014727,257.48828125 +UBC1003__unsupervised_field,DBSCAN,8844,1,0.8717948717948718,0.8717948717948718,0.9444045051521688,0.0113875102761623,1,0.7727272727272727,53,1,53,5.727920454563199,52,0.3939922999998089,196.76953125 +UBC1003__unsupervised_field,HDBSCAN,8844,1,1,1,0.0090497737556561,0.00004931409617896033,1,1,2,1,2,1,1,0.5383837000117637,194.58984375 +UBC1003__unsupervised_field,OPTICS,8844,1,0.339622641509434,0.339622641509434,0.9834311356575768,0.0306774605879846,1,0.2045454545454545,24,1,24,4.584962500721156,23,1.2361178999999538,196.01953125 +UBC1003__unsupervised_field,SNN-DBSCAN,8844,1,1,1,0.9790591101572016,0.5271663415993313,1,1,44,1,44,5.459431618637297,43,0.3059597999963444,235.84375 +UBC1003__unsupervised_field,VDBSCAN-2007,8844,1,1,1,0.1322296508542927,0.00005666603411558817,1,1,3,1,3,1.584962500721156,2,0.8829376999929082,211.97265625 +UBC1003__unsupervised_field,AMD-DBSCAN,8844,1,0.9885057471264368,0.9885057471264368,0.0813167647700021,0.00009329989484388928,1,0.9772727272727272,50,1,50,5.643856189774724,49,1.3248274000070523,1376.20703125 +UBC1003__unsupervised_field,kNN-DBSCAN,8844,1,0.8717948717948718,0.8717948717948718,0.9444045051521688,0.0147261487577272,1,0.7727272727272727,58,1,58,5.857980995127572,57,0.2995632000092882,196.375 +UBC1003__unsupervised_field,kNN+Leiden,8844,1,1,1,0,0.0003940514887002,1,1,10,1,10,3.321928094887362,9,1.3564380999887362,261.40234375 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+UBC1359__unsupervised_field,StrataSCAN,3819,1,1,1,0.1108625403927417,0.00007333653126355628,1,1,9,1,9,3.169925001442312,8,1.3242654000059702,241.22265625 +UBC1359__unsupervised_field,DBSCAN,3819,1,1,1,0.9554700384826827,0.0107496463932107,1,1,12,1,12,3.584962500721156,11,0.1631075000041164,193.31640625 +UBC1359__unsupervised_field,HDBSCAN,3819,1,1,1,0.0933266432513798,0.00005238141697246743,1,1,2,1,2,1,1,0.1192203999962657,193.3515625 +UBC1359__unsupervised_field,OPTICS,3819,1,0.6896551724137931,0.6896551724137931,0.9830463222533709,0.0981461286804798,1,0.5263157894736842,11,1,11,3.4594316186372973,10,0.5038541999820154,195.7890625 +UBC1359__unsupervised_field,SNN-DBSCAN,3819,1,1,1,0.9184573786822258,0.0856713426853707,1,1,56,1,56,5.807354922057604,55,0.1455803000135347,232.67578125 +UBC1359__unsupervised_field,VDBSCAN-2007,3819,1,1,1,0.14453125,0.0000558814124533525,1,1,3,1,3,1.584962500721156,2,0.2948111000005156,206.42578125 +UBC1359__unsupervised_field,AMD-DBSCAN,3819,1,1,1,0.0966691710493363,0.000124177009607,1,1,17,1,17,4.087462841250339,16,0.283397999999579,404.765625 +UBC1359__unsupervised_field,kNN-DBSCAN,3819,1,1,1,0.9554700384826827,0.0116267210606833,1,1,13,1,13,3.700439718141092,12,0.1246189000084996,195.87109375 +UBC1359__unsupervised_field,kNN+Leiden,3819,1,1,1,0,0.0003067567203939,1,1,8,1,8,3,7,0.2678820000146515,237.4609375 diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/README.md b/manuscript/oedm2026/tables/performance_tables_2026-08-06/README.md new file mode 100644 index 0000000..68751b3 --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/README.md @@ -0,0 +1,21 @@ +# Analysis-ready performance tables + +Snapshot: 2026-08-06T12:45:41.617Z + +This folder contains tidy CSV tables plus one formatted Excel workbook. Blank metric cells are unavailable measurements, not zeros. + +## Requested result blocks + +1. Standard synthetic benchmark: nine methods, seven generator families, three fresh seeds, n=20,000. F1 summaries follow the frozen failure policy (non-ok quality cells contribute 0); resource and granularity summaries use successful jobs only. +2. Noise-aware benchmark: six distinct 99% diffuse-background architectures from the separate **implement-stratascan-pilot-benchmark** worktree: Gaussian 4x, 16x, 64x density ranges, moon arcs, rings, and anisotropic ellipses. Four seeds. Timeouts and AMD resource skips remain missing rather than being converted to zero. +3. Varying-noise matrix: the replicated compact-Gaussian 4x design at 50%, 75%, 90%, 95%, 97.5%, and 99% diffuse background. +4. Scalability through 5,000,000 observations: the accepted StrataSCAN envelope plus a timestamped snapshot of the in-progress failure-gated baseline grid. Pending and skipped cells remain explicit. Per-process RSS is not aggregate host memory. +5. Real data: all nine methods on 13 cytometry datasets and 359 Gaia fields. Gaia's primary endpoint is best-cluster F1; target/noise/pairwise values are retained as requested diagnostics. + +## Granularity + +`granularity_ratio = predicted_clusters / truth_clusters` (1 is exact). `granularity_log2_ratio` is signed (0 exact, positive over-segmentation, negative under-segmentation). `granularity_abs_log2_error` ignores direction and is 0 at exact granularity. + +## Aggregation + +F1 columns ending in `_mean` are arithmetic means. SD is sample SD. Runtime and RSS medians are conditional on successful completion. Coverage columns must be shown beside performance whenever failures, timeouts, skips, or pending cells occur. See `source_provenance.csv` for exact sources and commits. diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/StrataSCAN_performance_tables.xlsx b/manuscript/oedm2026/tables/performance_tables_2026-08-06/StrataSCAN_performance_tables.xlsx new file mode 100644 index 0000000..b5676b9 Binary files /dev/null and b/manuscript/oedm2026/tables/performance_tables_2026-08-06/StrataSCAN_performance_tables.xlsx differ diff --git a/manuscript/oedm2026/tables/performance_tables_2026-08-06/source_provenance.csv b/manuscript/oedm2026/tables/performance_tables_2026-08-06/source_provenance.csv new file mode 100644 index 0000000..ce88dfa --- /dev/null +++ b/manuscript/oedm2026/tables/performance_tables_2026-08-06/source_provenance.csv @@ -0,0 +1,7 @@ +table_group,path,worktree_commit,protocol,note +standard synthetic 7,C:\Users\lizzka239\projects\StrataSCAN\results\runs\v0.2.3-final-figures-heldout-v1\results.csv,c3192aa25473bf93fa88078cb9233d9870ea22a3,0.2.3-final-figures-heldout-v1,"9 methods x 7 families x 3 fresh seeds at n=20,000" +noise-aware 6 and noise curve,C:\Users\lizzka239\.codex\worktrees\045f\StrataSCAN\topology_noise_results\topology_density_4seed_v1\results.csv,c7ffb5661c7ceb2f162bf86d3019f5050dbe59e4f,topology_density_4seed_v1,replicated fixed-target pilot; timeouts/skips not imputed +scalability StrataSCAN,C:\Users\lizzka239\projects\StrataSCAN\results\runs\v0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1\results.csv,c3192aa25473bf93fa88078cb9233d9870ea22a3,0.2.3-seven-family-stratascan-scalability-5m-parallel-3600s-v1,accepted 28-cell envelope +scalability baselines,C:\Users\lizzka239\projects\StrataSCAN\results\runs\v0.2.3-seven-family-baselines-scalability-5m-gated-v1,c3192aa25473bf93fa88078cb9233d9870ea22a3,0.2.3-seven-family-baselines-scalability-5m-v1,snapshot 2026-08-06T12:45:41.617Z; 142/224 job records present +biological,C:\Users\lizzka239\projects\StrataSCAN\manuscript\oedm2026\final_figures\figS4_biological_metric_matrix-data.csv,c3192aa25473bf93fa88078cb9233d9870ea22a3,final evidence matrix,9 methods x 13 cytometry datasets +Gaia,C:\Users\lizzka239\projects\StrataSCAN\manuscript\oedm2026\final_figures\figS5_gaia_validation-data.csv,c3192aa25473bf93fa88078cb9233d9870ea22a3,final evidence matrix,9 methods x 359 Gaia fields diff --git a/manuscript/oedm2026/tables/scalability_evidence_boundaries.csv b/manuscript/oedm2026/tables/scalability_evidence_boundaries.csv index 3080d8f..5336f16 100644 --- a/manuscript/oedm2026/tables/scalability_evidence_boundaries.csv +++ b/manuscript/oedm2026/tables/scalability_evidence_boundaries.csv @@ -1,6 +1,6 @@ snapshot,scope,n,runtime_seconds,memory_record,claim_boundary -Fixed-range MDL,14 locked synthetic pairs,5000,6.127842450001481,not monitored,evaluated snapshot; paired-process engineering time -Fixed-range MDL,7 synthetic families,20000,29.840557399998943,not monitored,evaluated snapshot; one seed -Fixed-range MDL,Mosmann,396460,516.9917684000029,646.7 peak,largest directly evaluated snapshot job -Earlier dev9,Moons smoke test,1000000,42.30491740000434,1215.5 peak,different algorithm; sparse-lineage evidence only -Predecessor 0.1.2,7-family median,5000000,1013.0414353000232,endpoint only,different algorithm; not MDL evidence +Reference MDL,14 locked synthetic pairs,5000,6.127842450001481,not monitored,evaluated snapshot; paired-process engineering time +Reference MDL,7 synthetic families,20000,29.840557399998943,not monitored,evaluated snapshot; one seed +Reference MDL,Mosmann,396460,516.9917684000029,646.7 peak,largest directly evaluated snapshot job +Prototype,Moons smoke test,1000000,42.30491740000434,1215.5 peak,different algorithm; sparse-lineage evidence only +Reference configuration,7-family median,5000000,1013.0414353000232,endpoint only,different algorithm; not MDL evidence diff --git a/manuscript/oedm2026/tables/statistical_summary.json b/manuscript/oedm2026/tables/statistical_summary.json index 1369a9c..138e3aa 100644 --- a/manuscript/oedm2026/tables/statistical_summary.json +++ b/manuscript/oedm2026/tables/statistical_summary.json @@ -147,7 +147,7 @@ "tied": 10, "wilcoxon_p": 0.6233436223982587 }, - "protocol_note": "Legacy baselines are collapsed by dataset using the median over declared stochastic seeds; failed jobs contribute zero. MDL-StrataSCAN and its 0.1.2 predecessor use the direct seed-42 pilot runs.", + "protocol_note": "Legacy baselines are collapsed by dataset using the median over declared stochastic seeds; failed jobs contribute zero. MDL-StrataSCAN and the reference configuration use the direct seed-42 pilot runs.", "source_rows": { "biological": 104, "gaia": 240, diff --git a/manuscript/oedm2026/tables/synthetic_five_seed_cluster_ratio_log2.csv b/manuscript/oedm2026/tables/synthetic_five_seed_cluster_ratio_log2.csv index 102851e..0c7d8a0 100644 --- a/manuscript/oedm2026/tables/synthetic_five_seed_cluster_ratio_log2.csv +++ b/manuscript/oedm2026/tables/synthetic_five_seed_cluster_ratio_log2.csv @@ -14,4 +14,4 @@ VDBSCAN-2007,2.1154772174199357,0.11547721741993588,-3.0,5.169925001442312,4.954 AMD-DBSCAN,0.22239242133644802,-3.584962500721156,-3.0,1.584962500721156,5.741466986401147,1.6629650127224291,-3.0 kNN-DBSCAN,0.41503749927884376,0.0,1.0,6.562242424221073,3.7548875021634687,2.321928094887362,0.32192809488736235 kNN + Leiden,1.4150374992788437,-0.5849625007211563,0.32192809488736235,3.0874628412503395,3.169925001442312,0.22239242133644802,0.0 -StrataSCAN 0.1.0,0.22239242133644802,0.0,-1.0,1.0,2.584962500721156,-1.5849625007211563,0.0 +StrataSCAN reference,0.22239242133644802,0.0,-1.0,1.0,2.584962500721156,-1.5849625007211563,0.0 diff --git a/manuscript/oedm2026/tables/synthetic_five_seed_family_macro_f1.csv b/manuscript/oedm2026/tables/synthetic_five_seed_family_macro_f1.csv index 4f9f0b8..b3784b1 100644 --- a/manuscript/oedm2026/tables/synthetic_five_seed_family_macro_f1.csv +++ b/manuscript/oedm2026/tables/synthetic_five_seed_family_macro_f1.csv @@ -14,4 +14,4 @@ VDBSCAN-2007,0.9893267018737049,1.0,0.04924223526745148,0.9449388985954734,0.905 AMD-DBSCAN,0.9814944562398071,0.008298744211893,0.048683027279353405,0.9848147856974595,0.9210047182235458,0.6819654822011327,0.05971481932819818 kNN-DBSCAN,0.9912083096534069,0.9984496124031008,0.5380502081728734,0.05430780916410114,0.6257726891055753,0.1715224762695212,0.3724985159656435 kNN + Leiden,0.9174600307290367,0.16903946996856006,0.3714438254998983,0.35219750533178223,0.4724368292854719,0.8728683312379699,0.6594811202865669 -StrataSCAN 0.1.0,0.9865982625572904,0.9958499281349089,0.43032154454242527,0.8535457515612725,0.6891323739700386,0.44089682882149317,0.9968380737984954 +StrataSCAN reference,0.9865982625572904,0.9958499281349089,0.43032154454242527,0.8535457515612725,0.6891323739700386,0.44089682882149317,0.9968380737984954 diff --git a/manuscript/oedm2026/tables/synthetic_five_seed_resource_summary.csv b/manuscript/oedm2026/tables/synthetic_five_seed_resource_summary.csv index bbf4b49..ab3d301 100644 --- a/manuscript/oedm2026/tables/synthetic_five_seed_resource_summary.csv +++ b/manuscript/oedm2026/tables/synthetic_five_seed_resource_summary.csv @@ -7,4 +7,4 @@ VDBSCAN-2007,35,35,0.7559945040690775,0.3449489732230389,0.24263208280185014,0.9 AMD-DBSCAN,35,35,0.5265680047401984,0.21908107357541437,0.0005926618604739429,1.0,2.502500340529183,0.7412340000009863,381.88671875,565.203125 kNN-DBSCAN,35,35,0.5359728029620318,0.48754875502479705,0.8328967825056166,0.6446076190476191,0.9569312781081141,0.1413821000023745,10.91015625,192.08984375 kNN + Leiden,35,35,0.544989587477041,0.22547130048340996,0.0,1.0,0.5563933485243852,0.3647870999993756,31.92578125,242.84375 -StrataSCAN 0.1.0,35,35,0.7704546804837035,0.7354891086084386,0.9766630747180053,0.8992361904761906,0.6280312226130421,2.828878399988753,40.328125,222.0234375 +StrataSCAN reference,35,35,0.7704546804837035,0.7354891086084386,0.9766630747180053,0.8992361904761906,0.6280312226130421,2.828878399988753,40.328125,222.0234375 diff --git a/manuscript/oedm2026/tables/table_biological.tex b/manuscript/oedm2026/tables/table_biological.tex index e94f43b..93e9373 100644 --- a/manuscript/oedm2026/tables/table_biological.tex +++ b/manuscript/oedm2026/tables/table_biological.tex @@ -8,7 +8,7 @@ VDBSCAN-2007 & 13 & 0.074 & 0.086 & 0.078 & 142.73 \\ kNN-DBSCAN & 13 & 0.037 & 0.017 & 0.897 & 11.57 \\ kNN + Leiden & 13 & 0.000 & 0.384 & 0.000 & 41.90 \\ -StrataSCAN 0.1.2 & 13 & \underline{0.112} & 0.106 & 0.256 & 10.65 \\ +Reference configuration & 13 & \underline{0.112} & 0.106 & 0.256 & 10.65 \\ MDL-StrataSCAN & 13 & \textbf{0.217} & 0.130 & 0.202 & 14.57 \\ \bottomrule \end{tabular} diff --git a/manuscript/oedm2026/tables/table_biological_weighting.tex b/manuscript/oedm2026/tables/table_biological_weighting.tex index fd928b6..7a7896b 100644 --- a/manuscript/oedm2026/tables/table_biological_weighting.tex +++ b/manuscript/oedm2026/tables/table_biological_weighting.tex @@ -3,7 +3,7 @@ Method & Dataset TB & Study TB & Study TBS \\ \midrule SNN-DBSCAN & 0.112 & 0.163 & 0.017 \\ -StrataSCAN 0.1.2 & 0.112 & 0.090 & 0.051 \\ +Reference configuration & 0.112 & 0.090 & 0.051 \\ MDL-StrataSCAN & 0.217 & 0.160 & 0.094 \\ $k$NN+Leiden & 0.000 & 0.000 & 0.000 \\ \bottomrule diff --git a/manuscript/oedm2026/tables/table_gaia24.tex b/manuscript/oedm2026/tables/table_gaia24.tex index 84ce05c..3037cd5 100644 --- a/manuscript/oedm2026/tables/table_gaia24.tex +++ b/manuscript/oedm2026/tables/table_gaia24.tex @@ -10,7 +10,7 @@ AMD-DBSCAN & 24 & 0.897 & 0.000 & 0.046 & 0.43 \\ kNN-DBSCAN & 24 & 0.835 & 0.053 & 0.892 & 0.15 \\ kNN + Leiden & 24 & 0.883 & 0.001 & 0.000 & 0.46 \\ -StrataSCAN 0.1.2 & 24 & 0.894 & 0.000 & 0.247 & 7.89 \\ +Reference configuration & 24 & 0.894 & 0.000 & 0.247 & 7.89 \\ MDL-StrataSCAN & 24 & 0.867 & 0.144 & 0.338 & 11.15 \\ \bottomrule \end{tabular} diff --git a/manuscript/oedm2026/tables/table_locked_synthetic.tex b/manuscript/oedm2026/tables/table_locked_synthetic.tex index 18527f7..ad74ab8 100644 --- a/manuscript/oedm2026/tables/table_locked_synthetic.tex +++ b/manuscript/oedm2026/tables/table_locked_synthetic.tex @@ -1,6 +1,6 @@ \begin{tabular}{lrrrr} \toprule -Family & 0.1.2 macro & MDL macro & $\Delta$ macro & $\Delta$ pairwise \\ +Family & Reference macro & MDL macro & $\Delta$ macro & $\Delta$ pairwise \\ \midrule Imbalanced 16D & 0.996 & 0.994 & -0.002 & -0.012 \\ Moons 2D & 0.817 & 0.952 & +0.135 & +0.119 \\ diff --git a/manuscript/oedm2026/tables/table_scalability_boundaries.tex b/manuscript/oedm2026/tables/table_scalability_boundaries.tex index d226ebf..46d6f9f 100644 --- a/manuscript/oedm2026/tables/table_scalability_boundaries.tex +++ b/manuscript/oedm2026/tables/table_scalability_boundaries.tex @@ -2,10 +2,10 @@ \toprule Evidence & $n$ & Time (s) & Memory (MiB) \\ \midrule -Fixed-range MDL: 14 locked synthetic pairs & 5,000 & 6.1 & not monitored \\ -Fixed-range MDL: 7 synthetic families & 20,000 & 29.8 & not monitored \\ -Fixed-range MDL: Mosmann & 396,460 & 517.0 & 646.7 peak \\ -Earlier dev9: Moons smoke test & 1,000,000 & 42.3 & 1215.5 peak \\ -Predecessor 0.1.2: 7-family median & 5,000,000 & 1013.0 & endpoint only \\ +Reference MDL: 14 locked synthetic pairs & 5,000 & 6.1 & not monitored \\ +Reference MDL: 7 synthetic families & 20,000 & 29.8 & not monitored \\ +Reference MDL: Mosmann & 396,460 & 517.0 & 646.7 peak \\ +Prototype: Moons smoke test & 1,000,000 & 42.3 & 1215.5 peak \\ +Reference configuration: 7-family median & 5,000,000 & 1013.0 & endpoint only \\ \bottomrule \end{tabular} diff --git a/manuscript/oedm2026/tables/table_synthetic_five_seed_resources.tex b/manuscript/oedm2026/tables/table_synthetic_five_seed_resources.tex index 3478a4e..d124f3b 100644 --- a/manuscript/oedm2026/tables/table_synthetic_five_seed_resources.tex +++ b/manuscript/oedm2026/tables/table_synthetic_five_seed_resources.tex @@ -10,6 +10,6 @@ AMD-DBSCAN & 35/35 & 0.527 & 0.219 & 0.001 & 1.000 & 0.741 & 381.9 \\ kNN-DBSCAN & 35/35 & 0.536 & 0.488 & 0.833 & 0.645 & 0.141 & 10.9 \\ $k$NN+Leiden & 35/35 & 0.545 & 0.225 & 0.000 & 1.000 & 0.365 & 31.9 \\ -StrataSCAN 0.1.0 & 35/35 & 0.770 & 0.735 & 0.977 & 0.899 & 2.829 & 40.3 \\ +StrataSCAN reference & 35/35 & 0.770 & 0.735 & 0.977 & 0.899 & 2.829 & 40.3 \\ \bottomrule \end{tabular} diff --git a/results/published/v0.2.3/biological/RESULTS.md b/results/published/v0.2.3/biological/RESULTS.md new file mode 100644 index 0000000..44a40c7 --- /dev/null +++ b/results/published/v0.2.3/biological/RESULTS.md @@ -0,0 +1,65 @@ +# StrataSCAN 0.2.3 biological revalidation — cytometry + +This evidence records the completed biological revalidation for 0.2.3. It +evaluates the released estimator with fixed defaults on Levine, Mosmann, +Nilsson, all ten Samusik samples, and the full Gaia DR3 open-cluster field +matrix. + +## Protocol and comparator + +- Protocol: `benchmarks/protocol.v0.2.3-biological.json` +- Run date: 2026-08-04 +- Resource contract: one thread per isolated job, 1,800 s timeout, 8,192 MB + RSS limit; two isolated jobs were run concurrently. +- Comparator: frozen baseline result records from the 0.1.0 biological + campaign and the Samusik follow-up runs. +- Baseline source audit: baseline implementations have no source changes after + commit `5071f3237a76cfd5c7c6c8179df446c0335127b7` (the 0.1.0 release). + +## Cytometry completion + +All 13 of 13 cytometry jobs completed successfully. + +| Dataset | Macro target F1 | Runtime, s | +|---|---:|---:| +| Levine | 0.1902 | 78.713 | +| Mosmann | 0.0018 | 205.389 | +| Nilsson | 0.5169 | 23.710 | +| Samusik 01 | 0.2334 | 23.057 | +| Samusik 02 | 0.0125 | 21.851 | +| Samusik 03 | 0.0162 | 24.887 | +| Samusik 04 | 0.2399 | 26.633 | +| Samusik 05 | 0.2902 | 26.310 | +| Samusik 06 | 0.2769 | 24.249 | +| Samusik 07 | 0.2595 | 35.333 | +| Samusik 08 | 0.2855 | 30.573 | +| Samusik 09 | 0.2311 | 25.862 | +| Samusik 10 | 0.0220 | 20.321 | + +The median macro target F1 is **0.2334**. + +## Frozen-baseline context + +The historical StrataSCAN row, evaluated on the identical 13-dataset coverage, +has median macro target F1 0.0402. The unchanged baseline implementations +remain the comparison set: kNN+Leiden has the highest frozen median (0.3357, +11/13 successful jobs), followed by HDBSCAN (0.1036, but only 1/4 successful +jobs) and VDBSCAN-2007 (0.0738, 12/13). StrataSCAN 0.2.3 completes all 13 +jobs and improves materially on its historical estimator result; this report +does not claim that it exceeds kNN+Leiden on the cytometry endpoint. + +## Gaia DR3 + +All **359 of 359** Gaia `unsupervised_field` jobs completed successfully. The +released estimator has median best-cluster F1 **0.9836** with a 2.282 s median +runtime. The frozen historical StrataSCAN row has median best-cluster F1 1.0000 +and a 2.726 s median runtime on the same 359 fields. The comparison therefore +records a small quality decrease while reducing median runtime by about 16%; it +does not claim superiority over the unchanged baselines, whose best-cluster-F1 +medians range from 0.5818 (OPTICS) to 1.0000 (HDBSCAN, SNN-DBSCAN, +VDBSCAN-2007, and kNN+Leiden). + +The reproducible raw job records, run manifests, validation records, and CSVs +are available locally under `results/runs/v0.2.3-biological-20260804/`. They +are excluded from the repository by policy because per-job benchmark outputs +are large and reproducible. diff --git a/tests/test_topology_noise_benchmark.py b/tests/test_topology_noise_benchmark.py new file mode 100644 index 0000000..7da953d --- /dev/null +++ b/tests/test_topology_noise_benchmark.py @@ -0,0 +1,32 @@ +from __future__ import annotations + +import numpy as np + +from topology_noise_benchmark.generators import generate +from topology_noise_benchmark.run_benchmark import build_jobs + + +def test_all_topologies_are_reproducible_and_auditable() -> None: + for topology, ratio in (("compact_gaussian", 64.0), ("anisotropic_ellipses", 1.0), ("moon_arcs", 1.0), ("rings", 1.0)): + first = generate(topology=topology, density_ratio=ratio, noise_fraction=.99, geometry_seed=3571, sampling_seed=42) + second = generate(topology=topology, density_ratio=ratio, noise_fraction=.99, geometry_seed=3571, sampling_seed=42) + assert np.array_equal(first.X, second.X) + assert first.X.shape == (180_000, 2) + assert np.sum(first.y >= 0) == 1_800 + assert first.metadata["minimum_local_target_background_contrast"] >= 50.0 + assert first.metadata["minimum_edge_gap"] > 0.0 + + +def test_sampling_seed_changes_draws_not_geometry() -> None: + first = generate(topology="rings", density_ratio=1.0, noise_fraction=.95, geometry_seed=3571, sampling_seed=23) + second = generate(topology="rings", density_ratio=1.0, noise_fraction=.95, geometry_seed=3571, sampling_seed=42) + assert first.metadata["geometry_instance_id"] == second.metadata["geometry_instance_id"] + assert not np.array_equal(first.X, second.X) + + +def test_manifest_has_four_standard_seeds_and_amd_skips() -> None: + config = {"geometry_seed": 3571, "sampling_seeds": [23, 42, 73, 151], "methods": ["StrataSCAN", "AMD-DBSCAN"], "design": {"target_count": 6, "mass_per_target": 300, "minimum_local_contrast_at_99pct": 50.0}, "cells": [{"cell_id": "a", "topology": "compact_gaussian", "density_ratio": 4.0, "noise_fractions": [.5, .99]}]} + jobs = build_jobs(config) + assert len(jobs) == 16 + assert {job["sampling_seed"] for job in jobs} == {23, 42, 73, 151} + assert sum(job["method"] == "AMD-DBSCAN" for job in jobs) == 8 diff --git a/topology_noise_benchmark/README.md b/topology_noise_benchmark/README.md new file mode 100644 index 0000000..323fa9f --- /dev/null +++ b/topology_noise_benchmark/README.md @@ -0,0 +1,30 @@ +# Replicated topology and density stress benchmark + +This standalone PILOT extends the fixed-target diffuse-background experiment +without changing prior suites or outputs. It uses the established project seeds +`23, 42, 73, 151`, one fixed geometry seed, six 300-point targets, and a fixed +background support. Signal mass does not shrink as background increases. + +The compact-Gaussian reference is run at all six noise levels (50--99%). Three +shape screens (anisotropic ellipses, curved moon arcs, and rings) run at 75%, +95%, and 99%; two extreme Gaussian density ratios (16x and 64x) run at 95% and +99%. This is an intentionally staged design: topology and density heterogeneity +are not crossed, avoiding an uninterpretable large factorial. + +For compact and elliptical targets, recorded local density is the analytical +Gaussian peak. For moon arcs and rings it is the analytical central tube density +(mass divided by curve length and Gaussian normal width). All cells share a +support calibrated so the reference least-dense compact target has 50x local +contrast at 99% background. Metrics use the existing Hungarian target F1, +pairwise F1, background/noise F1, cluster ratio, fragments, and merges. + +Run: + +```powershell +$env:PYTHONPATH = "src;." +python -m topology_noise_benchmark.run_benchmark --run-id topology_density_4seed_v1 +python -m topology_noise_benchmark.report topology_noise_results\topology_density_4seed_v1 +``` + +The runner uses four bounded, single-threaded subprocesses. AMD-DBSCAN is an +explicit resource skip for every cell; other failures and timeouts are retained. diff --git a/topology_noise_benchmark/__init__.py b/topology_noise_benchmark/__init__.py new file mode 100644 index 0000000..308e42b --- /dev/null +++ b/topology_noise_benchmark/__init__.py @@ -0,0 +1 @@ +"""Standalone replicated topology and density stress benchmark.""" diff --git a/topology_noise_benchmark/config.pilot.json b/topology_noise_benchmark/config.pilot.json new file mode 100644 index 0000000..61b8dce --- /dev/null +++ b/topology_noise_benchmark/config.pilot.json @@ -0,0 +1,28 @@ +{ + "title": "PILOT / replicated topology and density stress benchmark", + "schema_version": 1, + "geometry_seed": 3571, + "sampling_seeds": [23, 42, 73, 151], + "methods": ["StrataSCAN", "DBSCAN", "HDBSCAN", "OPTICS", "kNN-DBSCAN", "SNN-DBSCAN", "VDBSCAN-2007", "kNN+Leiden", "AMD-DBSCAN"], + "max_workers": 4, + "timeout_seconds": 240, + "design": { + "target_count": 6, + "mass_per_target": 300, + "minimum_local_contrast_at_99pct": 50.0, + "background_support": "fixed axis-aligned square shared by all topologies", + "background_sampling": "nested prefix by topology and sampling seed" + }, + "cells": [ + {"cell_id": "gaussian_noise_curve_r4", "topology": "compact_gaussian", "density_ratio": 4.0, "noise_fractions": [0.50, 0.75, 0.90, 0.95, 0.975, 0.99]}, + {"cell_id": "anisotropic_ellipses_screen", "topology": "anisotropic_ellipses", "density_ratio": 1.0, "noise_fractions": [0.75, 0.95, 0.99]}, + {"cell_id": "moon_arcs_screen", "topology": "moon_arcs", "density_ratio": 1.0, "noise_fractions": [0.75, 0.95, 0.99]}, + {"cell_id": "rings_screen", "topology": "rings", "density_ratio": 1.0, "noise_fractions": [0.75, 0.95, 0.99]}, + {"cell_id": "gaussian_density_r16", "topology": "compact_gaussian", "density_ratio": 16.0, "noise_fractions": [0.95, 0.99]}, + {"cell_id": "gaussian_density_r64", "topology": "compact_gaussian", "density_ratio": 64.0, "noise_fractions": [0.95, 0.99]} + ], + "resource_policy": { + "amd_dbscan": "always_skip", + "reason": "AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark." + } +} diff --git a/topology_noise_benchmark/generators.py b/topology_noise_benchmark/generators.py new file mode 100644 index 0000000..f7176c3 --- /dev/null +++ b/topology_noise_benchmark/generators.py @@ -0,0 +1,130 @@ +from __future__ import annotations + +from dataclasses import dataclass +import hashlib +import json +from typing import Any + +import numpy as np + + +NOISE_FRACTIONS = {0.50, 0.75, 0.90, 0.95, 0.975, 0.99} + + +@dataclass(frozen=True, slots=True) +class Dataset: + X: np.ndarray + y: np.ndarray + metadata: dict[str, Any] + + +def _background_count(signal_count: int, fraction: float) -> int: + return int(round(signal_count * fraction / (1.0 - fraction))) + + +def _centers(seed: int, radius: float = 12.0) -> np.ndarray: + rng = np.random.default_rng(seed) + angle = float(rng.uniform(0.0, 2.0 * np.pi)) + angles = angle + np.arange(6) * 2.0 * np.pi / 6.0 + return radius * np.column_stack((np.cos(angles), np.sin(angles))) + + +def fixed_geometry(*, topology: str, density_ratio: float, geometry_seed: int, mass_per_target: int = 300, minimum_local_contrast_at_99pct: float = 50.0) -> dict[str, Any]: + if topology not in {"compact_gaussian", "anisotropic_ellipses", "moon_arcs", "rings"}: + raise ValueError(f"unknown topology: {topology}") + if density_ratio < 1.0: + raise ValueError("density_ratio must be at least one") + signal_count = 6 * mass_per_target + sparse_sigma = 0.36 + # All topologies share the support calibrated from this least-dense compact + # reference. Their local density must therefore be >= this lower bound. + reference_minimum_density = mass_per_target / (2.0 * np.pi * sparse_sigma**2) + max_background = _background_count(signal_count, 0.99) + window_area = max_background / (reference_minimum_density / minimum_local_contrast_at_99pct) + rng = np.random.default_rng(geometry_seed) + centers = _centers(geometry_seed) + payload = {"topology": topology, "density_ratio": density_ratio, "geometry_seed": geometry_seed, "mass_per_target": mass_per_target, "window_area": window_area} + geometry: dict[str, Any] = {"centers": centers, "window_area": float(window_area), "window_side": float(np.sqrt(window_area)), "reference_minimum_density": float(reference_minimum_density)} + if topology == "compact_gaussian": + sigmas = np.geomspace(sparse_sigma / np.sqrt(density_ratio), sparse_sigma, 6) + geometry.update({"sigmas": sigmas, "local_peak_densities": (mass_per_target / (2.0 * np.pi * sigmas**2)).tolist(), "support_radii": (5.0 * sigmas).tolist()}) + elif topology == "anisotropic_ellipses": + aspect = 8.0 + major, minor = sparse_sigma * np.sqrt(aspect), sparse_sigma / np.sqrt(aspect) + angles = rng.uniform(0.0, 2.0 * np.pi, size=6) + geometry.update({"major_sigma": major, "minor_sigma": minor, "orientations": angles, "local_peak_densities": [reference_minimum_density] * 6, "support_radii": [5.0 * major] * 6, "aspect_ratio": aspect}) + elif topology == "moon_arcs": + curve_radius, tube_sigma = 0.50, 0.08 + length = np.pi * curve_radius + local_density = mass_per_target / (length * np.sqrt(2.0 * np.pi) * tube_sigma) + geometry.update({"curve_radius": curve_radius, "tube_sigma": tube_sigma, "orientations": rng.uniform(0.0, 2.0 * np.pi, size=6), "curve_length": length, "local_peak_densities": [local_density] * 6, "support_radii": [curve_radius + 5.0 * tube_sigma] * 6}) + else: + ring_radius, tube_sigma = 0.50, 0.08 + length = 2.0 * np.pi * ring_radius + local_density = mass_per_target / (length * np.sqrt(2.0 * np.pi) * tube_sigma) + geometry.update({"ring_radius": ring_radius, "tube_sigma": tube_sigma, "curve_length": length, "local_peak_densities": [local_density] * 6, "support_radii": [ring_radius + 5.0 * tube_sigma] * 6}) + center_distances = [np.linalg.norm(centers[a] - centers[b]) for a in range(6) for b in range(a + 1, 6)] + geometry["minimum_center_distance"] = float(min(center_distances)) + geometry["minimum_edge_gap"] = float(min(center_distances) - 2.0 * max(geometry["support_radii"])) + geometry["geometry_instance_id"] = hashlib.sha256(json.dumps(payload, sort_keys=True).encode()).hexdigest()[:16] + if geometry["minimum_edge_gap"] <= 0.0: + raise ValueError("topology supports overlap") + return geometry + + +def _sample_targets(topology: str, geometry: dict[str, Any], rng: np.random.Generator, mass: int) -> list[np.ndarray]: + blocks: list[np.ndarray] = [] + for label, center in enumerate(geometry["centers"]): + if topology == "compact_gaussian": + block = rng.normal(size=(mass, 2)) * geometry["sigmas"][label] + center + elif topology == "anisotropic_ellipses": + angle = geometry["orientations"][label] + rotation = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) + block = rng.normal(size=(mass, 2)) * np.array([geometry["major_sigma"], geometry["minor_sigma"]]) + block = block @ rotation.T + center + elif topology == "moon_arcs": + theta = rng.uniform(-np.pi / 2.0, np.pi / 2.0, size=mass) + arc = np.column_stack((geometry["curve_radius"] * np.cos(theta), geometry["curve_radius"] * np.sin(theta))) + normal = np.column_stack((-np.cos(theta), -np.sin(theta))) * rng.normal(0.0, geometry["tube_sigma"], size=(mass, 1)) + angle = geometry["orientations"][label] + rotation = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) + block = (arc + normal) @ rotation.T + center + else: + theta = rng.uniform(0.0, 2.0 * np.pi, size=mass) + radius = geometry["ring_radius"] + rng.normal(0.0, geometry["tube_sigma"], size=mass) + block = np.column_stack((radius * np.cos(theta), radius * np.sin(theta))) + center + blocks.append(block) + return blocks + + +def generate(*, topology: str, density_ratio: float, noise_fraction: float, geometry_seed: int, sampling_seed: int, mass_per_target: int = 300, minimum_local_contrast_at_99pct: float = 50.0) -> Dataset: + if noise_fraction not in NOISE_FRACTIONS: + raise ValueError("noise_fraction must be a prespecified sweep level") + geometry = fixed_geometry(topology=topology, density_ratio=density_ratio, geometry_seed=geometry_seed, mass_per_target=mass_per_target, minimum_local_contrast_at_99pct=minimum_local_contrast_at_99pct) + signal_count = 6 * mass_per_target + background_count = _background_count(signal_count, noise_fraction) + rng = np.random.default_rng(sampling_seed) + blocks = _sample_targets(topology, geometry, rng, mass_per_target) + background = rng.uniform(-geometry["window_side"] / 2.0, geometry["window_side"] / 2.0, size=(background_count, 2)) + X = np.vstack([*blocks, background]).astype(np.float64, copy=False) + y = np.concatenate([*[np.full(mass_per_target, label, dtype=np.int64) for label in range(6)], np.full(background_count, -1, dtype=np.int64)]) + order = rng.permutation(X.shape[0]) + background_density = background_count / geometry["window_area"] + local_densities = np.asarray(geometry["local_peak_densities"], dtype=float) + metadata = { + "generator": "replicated_topology_noise_v1", "topology": topology, "density_ratio_requested": density_ratio, + "geometry_seed": geometry_seed, "sampling_seed": sampling_seed, "geometry_instance_id": geometry["geometry_instance_id"], + "noise_fraction_requested": noise_fraction, "noise_fraction_realized": background_count / X.shape[0], + "target_count": 6, "mass_per_target": mass_per_target, "cluster_masses": [mass_per_target] * 6, + "signal_count": signal_count, "background_count": background_count, "total_n": int(X.shape[0]), + "background_support": "fixed axis-aligned square", "background_window_area": geometry["window_area"], "background_window_side": geometry["window_side"], "background_density": float(background_density), + "local_target_density_definition": "Gaussian peak for compact/elliptical targets; central tube density for arcs/rings", + "local_target_peak_or_tube_densities": local_densities.tolist(), "local_target_background_contrasts": (local_densities / background_density).tolist(), + "minimum_local_target_background_contrast": float(np.min(local_densities / background_density)), + "maximum_local_target_background_contrast": float(np.max(local_densities / background_density)), + "minimum_center_distance": geometry["minimum_center_distance"], "minimum_edge_gap": geometry["minimum_edge_gap"], + "support_radii": geometry["support_radii"], "nested_background_prefix": True, + } + for key in ("sigmas", "major_sigma", "minor_sigma", "aspect_ratio", "curve_radius", "ring_radius", "tube_sigma", "curve_length", "orientations"): + if key in geometry: metadata[key] = np.asarray(geometry[key]).tolist() if isinstance(geometry[key], np.ndarray) else geometry[key] + return Dataset(X=X[order], y=y[order], metadata=metadata) diff --git a/topology_noise_benchmark/report.py b/topology_noise_benchmark/report.py new file mode 100644 index 0000000..9cbd547 --- /dev/null +++ b/topology_noise_benchmark/report.py @@ -0,0 +1,131 @@ +from __future__ import annotations + +import argparse +import json +from pathlib import Path + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd + +from topology_noise_benchmark.generators import generate + + +METHODS = ["StrataSCAN", "HDBSCAN", "OPTICS", "DBSCAN", "kNN-DBSCAN", "SNN-DBSCAN", "VDBSCAN-2007", "kNN+Leiden"] +ALL_METHODS = METHODS + ["AMD-DBSCAN"] +COLORS = dict(zip(METHODS, plt.cm.tab10(np.arange(len(METHODS))), strict=True)) +METRICS = [("hungarian_macro_target_f1", "Hungarian target F1", False), ("pairwise_f1", "Pairwise F1", False), ("noise_f1", "Background / noise F1", False), ("predicted_true_cluster_ratio", "Predicted / true cluster ratio", True)] + + +def summary(data: pd.DataFrame) -> pd.DataFrame: + ok = data[data.status.eq("ok")].copy() + return ok.groupby(["cell_id", "topology", "density_ratio", "noise_fraction", "n", "method"], as_index=False).agg( + seeds_completed=("sampling_seed", "nunique"), + hungarian_mean=("hungarian_macro_target_f1", "mean"), hungarian_sd=("hungarian_macro_target_f1", "std"), + pairwise_mean=("pairwise_f1", "mean"), pairwise_sd=("pairwise_f1", "std"), + noise_mean=("noise_f1", "mean"), noise_sd=("noise_f1", "std"), + ratio_mean=("predicted_true_cluster_ratio", "mean"), ratio_sd=("predicted_true_cluster_ratio", "std"), + runtime_median_s=("runtime_seconds", "median"), runtime_max_s=("runtime_seconds", "max"), peak_rss_median_mb=("peak_rss_mb", "median"), + fragments_mean=("extra_signal_fragments", "mean"), merges_mean=("merged_predicted_clusters", "mean"), + ) + + +def _metric_columns(metric: str) -> tuple[str, str]: + return {"hungarian_macro_target_f1": ("hungarian_mean", "hungarian_sd"), "pairwise_f1": ("pairwise_mean", "pairwise_sd"), "noise_f1": ("noise_mean", "noise_sd"), "predicted_true_cluster_ratio": ("ratio_mean", "ratio_sd")}[metric] + + +def gaussian_curve(table: pd.DataFrame, output: Path) -> None: + subset = table[table.cell_id.eq("gaussian_noise_curve_r4")] + levels = sorted(subset.noise_fraction.unique()); positions = {value: index for index, value in enumerate(levels)} + fig, axes = plt.subplots(2, 2, figsize=(13.5, 9), sharex=True) + for method in METHODS: + rows = subset[subset.method.eq(method)].sort_values("noise_fraction") + x = [positions[value] for value in rows.noise_fraction] + for axis, (metric, title, logarithmic) in zip(axes.flat, METRICS, strict=True): + mean, sd = _metric_columns(metric) + axis.plot(x, rows[mean], marker="o", lw=1.7, ms=4.5, color=COLORS[method], label=method) + axis.fill_between(x, np.maximum(0, rows[mean] - rows[sd].fillna(0)), rows[mean] + rows[sd].fillna(0), color=COLORS[method], alpha=.12) + axis.set_title(title); axis.grid(alpha=.2) + if logarithmic: axis.set_yscale("log"); axis.axhline(1, color="black", lw=1, ls="--") + else: axis.set_ylim(-.02, 1.04) + for axis in axes[1]: axis.set_xlabel("Diffuse-background fraction (%)") + for axis in axes.flat: axis.set_xticks(range(len(levels)), [f"{100*x:g}" for x in levels]) + handles, labels = axes[0, 0].get_legend_handles_labels(); fig.legend(handles, labels, loc="lower center", ncol=4, frameon=False) + fig.suptitle("PILOT / four-seed compact-target noise response (mean +/- SD)", fontsize=16) + fig.subplots_adjust(left=.07, right=.98, bottom=.14, top=.91, hspace=.28, wspace=.18) + fig.savefig(output / "gaussian_noise_response.png", dpi=180, bbox_inches="tight"); fig.savefig(output / "gaussian_noise_response.pdf", bbox_inches="tight"); plt.close(fig) + + +def panel(table: pd.DataFrame, output: Path, *, cell_ids: list[str], filename: str, title: str, noise_levels: list[float] | None = None) -> None: + subset = table[table.cell_id.isin(cell_ids)].copy() + if noise_levels is not None: + subset = subset[subset.noise_fraction.isin(noise_levels)] + levels = sorted(subset.noise_fraction.unique()) + labels = {"gaussian_noise_curve_r4": "Gaussian 4x", "anisotropic_ellipses_screen": "Ellipses", "moon_arcs_screen": "Moon arcs", "rings_screen": "Rings", "gaussian_density_r16": "Gaussian 16x", "gaussian_density_r64": "Gaussian 64x"} + fig, axes = plt.subplots(2, 2, figsize=(13.5, 9), sharex=True) + for method in METHODS: + rows = subset[subset.method.eq(method)] + for axis, (metric, metric_title, logarithmic) in zip(axes.flat, METRICS, strict=True): + mean, sd = _metric_columns(metric) + for level_index, level in enumerate(levels): + part = rows[np.isclose(rows.noise_fraction, level)].set_index("cell_id").reindex(cell_ids) + x = np.arange(len(cell_ids)) + (level_index - (len(levels) - 1) / 2) * .065 + marker = ["o", "s", "^", "D", "v", "P"][level_index % 6] + axis.plot(x, part[mean], marker=marker, ms=3.7, lw=.8, alpha=.75, color=COLORS[method]) + axis.set_title(metric_title); axis.grid(alpha=.2, axis="y") + if logarithmic: axis.set_yscale("log"); axis.axhline(1, color="black", lw=1, ls="--") + else: axis.set_ylim(-.02, 1.04) + for axis in axes[1]: axis.set_xlabel("Dataset topology / density condition") + for axis in axes.flat: axis.set_xticks(np.arange(len(cell_ids)), [labels[cell] for cell in cell_ids]) + handles = [plt.Line2D([], [], color="black", marker=["o", "s", "^", "D", "v", "P"][index], lw=.8, label=f"{100*level:g}% noise") for index, level in enumerate(levels)] + handles += [plt.Line2D([], [], color=COLORS[method], lw=2, label=method) for method in METHODS] + fig.legend(handles, [item.get_label() for item in handles], loc="lower center", ncol=4, frameon=False) + fig.suptitle(title, fontsize=16); fig.subplots_adjust(left=.07, right=.98, bottom=.18, top=.91, hspace=.28, wspace=.18) + fig.savefig(output / f"{filename}.png", dpi=180, bbox_inches="tight"); fig.savefig(output / f"{filename}.pdf", bbox_inches="tight"); plt.close(fig) + + +def design_figure(config: dict, output: Path) -> None: + cells = [config["cells"][0], config["cells"][1], config["cells"][2], config["cells"][3], config["cells"][5]] + fig, axes = plt.subplots(1, 5, figsize=(15.5, 3.4), sharex=True, sharey=True) + for axis, cell in zip(axes, cells, strict=True): + ds = generate(topology=cell["topology"], density_ratio=cell["density_ratio"], noise_fraction=.95, geometry_seed=config["geometry_seed"], sampling_seed=config["sampling_seeds"][0], mass_per_target=config["design"]["mass_per_target"], minimum_local_contrast_at_99pct=config["design"]["minimum_local_contrast_at_99pct"]) + axis.scatter(ds.X[ds.y < 0, 0], ds.X[ds.y < 0, 1], s=.15, c="#c8c8c8", rasterized=True) + axis.scatter(ds.X[ds.y >= 0, 0], ds.X[ds.y >= 0, 1], s=2, c=ds.y[ds.y >= 0], cmap="tab10", rasterized=True) + axis.set_title(cell["cell_id"].replace("_", "\n"), fontsize=8); axis.set_aspect("equal") + fig.suptitle("PILOT dataset design at 95% diffuse background", fontsize=14); fig.tight_layout() + fig.savefig(output / "topology_design.png", dpi=200, bbox_inches="tight"); fig.savefig(output / "topology_design.pdf", bbox_inches="tight"); plt.close(fig) + + +def resources(data: pd.DataFrame, output: Path) -> None: + grouped = data[data.status.eq("ok")].groupby("method", as_index=False).agg(median_runtime_s=("runtime_seconds", "median"), max_runtime_s=("runtime_seconds", "max"), max_rss_mb=("peak_rss_mb", "max"), completed=("status", "size")) + statuses = data.groupby(["method", "status"]).size().unstack(fill_value=0).reindex(ALL_METHODS, fill_value=0) + fig, axes = plt.subplots(1, 2, figsize=(12.5, 4.8)) + ordered = grouped.sort_values("median_runtime_s") + axes[0].barh(ordered.method, ordered.median_runtime_s, color=[COLORS.get(m, "#888888") for m in ordered.method]); axes[0].set_xscale("log"); axes[0].set_xlabel("Median clustering runtime, seconds (log)"); axes[0].set_title("Completed jobs"); axes[0].grid(axis="x", alpha=.2) + left = np.zeros(len(statuses)); palette = {"ok": "#1a9850", "timeout": "#fdae61", "skipped_resource_limit": "#bdbdbd", "error": "#d73027", "worker_failure": "#d73027"} + for state in ["ok", "timeout", "skipped_resource_limit", "error", "worker_failure"]: + if state in statuses: + axes[1].barh(statuses.index, statuses[state], left=left, label=state, color=palette[state]); left += statuses[state].to_numpy() + axes[1].set_xlabel("Manifest rows"); axes[1].set_title("Completion / resource status"); axes[1].legend(frameon=False) + fig.suptitle("PILOT runtime and completion summary", fontsize=15); fig.tight_layout(); fig.savefig(output / "resources_completion.png", dpi=180, bbox_inches="tight"); fig.savefig(output / "resources_completion.pdf", bbox_inches="tight"); plt.close(fig) + + +def main() -> None: + parser = argparse.ArgumentParser(); parser.add_argument("run_dir", type=Path); args = parser.parse_args(); output = args.run_dir.resolve() + config = json.loads((output / "resolved_config.json").read_text(encoding="utf-8")); data = pd.read_csv(output / "results.csv"); table = summary(data); table.to_csv(output / "summary.csv", index=False) + status = data.groupby(["cell_id", "topology", "noise_fraction", "method", "status"]).size().rename("jobs").reset_index(); status.to_csv(output / "status.csv", index=False) + design = [] + for cell in config["cells"]: + for fraction in cell["noise_fractions"]: + ds = generate(topology=cell["topology"], density_ratio=cell["density_ratio"], noise_fraction=fraction, geometry_seed=config["geometry_seed"], sampling_seed=config["sampling_seeds"][0], mass_per_target=config["design"]["mass_per_target"], minimum_local_contrast_at_99pct=config["design"]["minimum_local_contrast_at_99pct"]) + m = ds.metadata; design.append({"cell_id": cell["cell_id"], "topology": cell["topology"], "density_ratio": cell["density_ratio"], "noise_fraction": fraction, "total_n": m["total_n"], "signal_count": m["signal_count"], "window_area": m["background_window_area"], "background_density": m["background_density"], "minimum_local_contrast": m["minimum_local_target_background_contrast"], "minimum_edge_gap": m["minimum_edge_gap"], "geometry_instance_id": m["geometry_instance_id"]}) + pd.DataFrame(design).to_csv(output / "design_audit.csv", index=False) + gaussian_curve(table, output); panel(table, output, cell_ids=["anisotropic_ellipses_screen", "moon_arcs_screen", "rings_screen"], filename="topology_screen", title="PILOT / topology screen across three noise levels"); panel(table, output, cell_ids=["gaussian_noise_curve_r4", "gaussian_density_r16", "gaussian_density_r64"], filename="density_screen", title="PILOT / compact targets with extreme density differences", noise_levels=[.95, .99]); design_figure(config, output); resources(data, output) + counts = data.status.value_counts().to_dict() + lines = ["# PILOT / replicated topology and density stress benchmark", "", f"Manifest rows: {len(data)}. Statuses: {counts}.", "", f"Sampling seeds: {config['sampling_seeds']}; four workers; geometry seed: {config['geometry_seed']}.", "", "The Gaussian reference has six noise levels. The topology screens are deliberately separate from the density-ratio screens, so topology is not confounded with the 16x/64x density stress.", "", "All cells retain six 300-point targets and fixed support within topology. The design audit records total n, local target/background contrast, support area, background density, edge separation, and geometry identity. AMD-DBSCAN is an explicit skip in every cell.", "", "Figures are exploratory; metrics are aggregated over four sampling seeds where methods completed. Timeouts and errors remain in status tables and are not treated as missing favorable results."] + (output / "PILOT_REPORT.md").write_text("\n".join(lines) + "\n", encoding="utf-8") + + +if __name__ == "__main__": main() diff --git a/topology_noise_benchmark/run_benchmark.py b/topology_noise_benchmark/run_benchmark.py new file mode 100644 index 0000000..f3b4a70 --- /dev/null +++ b/topology_noise_benchmark/run_benchmark.py @@ -0,0 +1,92 @@ +from __future__ import annotations + +import argparse +from concurrent.futures import ThreadPoolExecutor, as_completed +import csv +from datetime import datetime, timezone +import json +import os +from pathlib import Path +import subprocess +import sys +import tempfile +from typing import Any + + +ROOT = Path(__file__).resolve().parents[1] +DEFAULT_CONFIG = Path(__file__).with_name("config.pilot.json") + + +def atomic_json(path: Path, value: Any) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + with tempfile.NamedTemporaryFile("w", encoding="utf-8", dir=path.parent, delete=False) as handle: + json.dump(value, handle, indent=2, sort_keys=True); temporary = Path(handle.name) + os.replace(temporary, path) + + +def build_jobs(config: dict[str, Any]) -> list[dict[str, Any]]: + design = config["design"] + parameters = {"mass_per_target": int(design["mass_per_target"]), "minimum_local_contrast_at_99pct": float(design["minimum_local_contrast_at_99pct"])} + signal = int(design["target_count"]) * int(design["mass_per_target"]) + jobs = [] + for cell in config["cells"]: + for fraction in cell["noise_fractions"]: + n = signal + int(round(signal * float(fraction) / (1.0 - float(fraction)))) + for seed in config["sampling_seeds"]: + for method in config["methods"]: + slug = method.lower().replace("-", "_").replace("+", "plus") + jobs.append({"job_id": f"{cell['cell_id']}__noise{int(round(1000 * fraction)):04d}__n{n}__seed{seed}__{slug}", "cell_id": cell["cell_id"], "topology": cell["topology"], "density_ratio": float(cell["density_ratio"]), "noise_fraction": float(fraction), "expected_n": n, "geometry_seed": int(config["geometry_seed"]), "sampling_seed": int(seed), "method": method, "design_parameters": parameters}) + return jobs + + +def run_one(job: dict[str, Any], output: Path, timeout: int) -> dict[str, Any]: + job_path = output / "jobs" / f"{job['job_id']}.json"; result_path = output / "job_results" / f"{job['job_id']}.json" + atomic_json(job_path, job) + env = os.environ.copy(); env["PYTHONPATH"] = str(ROOT / "src") + os.pathsep + str(ROOT) + for variable in ("OMP_NUM_THREADS", "OPENBLAS_NUM_THREADS", "MKL_NUM_THREADS", "NUMEXPR_NUM_THREADS", "LOKY_MAX_CPU_COUNT"): env[variable] = "1" + try: + subprocess.run([sys.executable, "-m", "topology_noise_benchmark.worker", "--job", str(job_path), "--output", str(result_path)], cwd=ROOT, env=env, capture_output=True, text=True, timeout=timeout, check=False) + except subprocess.TimeoutExpired: + payload = {"schema_version": 1, "pilot_label": "PILOT / exploratory; not final evidence", "job_id": job["job_id"], "status": "timeout", **{key: job[key] for key in ("method", "cell_id", "topology", "density_ratio", "sampling_seed", "noise_fraction")}, "n": job["expected_n"], "timeout_seconds": timeout} + atomic_json(result_path, payload); return payload + if result_path.exists(): return json.loads(result_path.read_text(encoding="utf-8")) + payload = {"schema_version": 1, "job_id": job["job_id"], "status": "worker_failure", **{key: job[key] for key in ("method", "cell_id", "topology", "density_ratio", "sampling_seed", "noise_fraction")}, "n": job["expected_n"]} + atomic_json(result_path, payload); return payload + + +def flatten(result: dict[str, Any]) -> dict[str, Any]: + fields = ("job_id", "status", "method", "cell_id", "topology", "density_ratio", "sampling_seed", "noise_fraction", "n", "runtime_seconds", "peak_rss_mb", "incremental_rss_mb", "skip_reason", "error_type", "error", "timeout_seconds") + row = {key: result.get(key) for key in fields} + for key in ("hungarian_macro_target_f1", "pairwise_f1", "noise_f1", "predicted_clusters", "truth_clusters", "predicted_true_cluster_ratio", "extra_signal_fragments", "merged_predicted_clusters", "false_discovery_signal_fraction"): + row[key] = result.get("metrics", {}).get(key) + return row + + +def main() -> None: + parser = argparse.ArgumentParser(); parser.add_argument("--config", type=Path, default=DEFAULT_CONFIG); parser.add_argument("--output-root", type=Path, default=ROOT / "topology_noise_results"); parser.add_argument("--run-id", default=None); args = parser.parse_args() + config = json.loads(args.config.read_text(encoding="utf-8")); output = args.output_root / (args.run_id or f"topology_noise_{datetime.now(timezone.utc).strftime('%Y%m%dT%H%M%SZ')}") + if output.exists() and any(output.iterdir()): raise FileExistsError(f"refusing to overwrite non-empty output: {output}") + output.mkdir(parents=True); jobs = build_jobs(config) + atomic_json(output / "resolved_config.json", config); atomic_json(output / "manifest.json", {"pilot_label": "PILOT / exploratory; not final evidence", "jobs": jobs}) + results, runnable = [], [] + for job in jobs: + if job["method"] == "AMD-DBSCAN": + skipped = {"schema_version": 1, "pilot_label": "PILOT / exploratory; not final evidence", "job_id": job["job_id"], "status": "skipped_resource_limit", **{key: job[key] for key in ("method", "cell_id", "topology", "density_ratio", "sampling_seed", "noise_fraction")}, "n": job["expected_n"], "skip_reason": config["resource_policy"]["reason"]} + atomic_json(output / "job_results" / f"{job['job_id']}.json", skipped); results.append(skipped) + else: runnable.append(job) + with ThreadPoolExecutor(max_workers=int(config["max_workers"])) as executor: + futures = {executor.submit(run_one, job, output, int(config["timeout_seconds"])): job for job in runnable} + for index, future in enumerate(as_completed(futures), 1): + result = future.result(); results.append(result); print(f"[{index}/{len(runnable)}] {result['job_id']}: {result['status']}", flush=True) + order = {job["job_id"]: index for index, job in enumerate(jobs)}; results.sort(key=lambda result: order[result["job_id"]]) + atomic_json(output / "results.json", results) + rows = [flatten(result) for result in results] + with (output / "results.csv").open("w", encoding="utf-8", newline="") as handle: + writer = csv.DictWriter(handle, fieldnames=list(rows[0])); writer.writeheader(); writer.writerows(rows) + status: dict[str, int] = {} + for result in results: status[result["status"]] = status.get(result["status"], 0) + 1 + atomic_json(output / "completion.json", {"pilot_label": "PILOT / exploratory; not final evidence", "total_jobs": len(results), "status_counts": status}) + print(f"Results: {output}") + + +if __name__ == "__main__": main() diff --git a/topology_noise_benchmark/worker.py b/topology_noise_benchmark/worker.py new file mode 100644 index 0000000..81692f5 --- /dev/null +++ b/topology_noise_benchmark/worker.py @@ -0,0 +1,63 @@ +from __future__ import annotations + +import argparse +import json +import os +from pathlib import Path +import tempfile +import threading +from time import perf_counter +import traceback +from typing import Any + +for variable in ("OMP_NUM_THREADS", "OPENBLAS_NUM_THREADS", "MKL_NUM_THREADS", "NUMEXPR_NUM_THREADS", "LOKY_MAX_CPU_COUNT"): + os.environ[variable] = "1" + +import psutil +from threadpoolctl import threadpool_limits + +from benchmarks.methods import run_method +from intended_regime_benchmark.metrics import evaluate +from topology_noise_benchmark.generators import generate + + +class PeakRSS: + def __init__(self) -> None: + self.process = psutil.Process(); self.baseline = self.process.memory_info().rss; self.peak = self.baseline + self.stop = threading.Event(); self.thread = threading.Thread(target=self._watch, daemon=True) + def _watch(self) -> None: + while not self.stop.wait(.01): self.peak = max(self.peak, self.process.memory_info().rss) + def __enter__(self) -> "PeakRSS": self.thread.start(); return self + def __exit__(self, *_: object) -> None: + self.stop.set(); self.thread.join(); self.peak = max(self.peak, self.process.memory_info().rss) + + +def atomic_json(path: Path, value: dict[str, Any]) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + with tempfile.NamedTemporaryFile("w", encoding="utf-8", dir=path.parent, delete=False) as handle: + json.dump(value, handle, indent=2, sort_keys=True); temporary = Path(handle.name) + os.replace(temporary, path) + + +def execute(job: dict[str, Any]) -> dict[str, Any]: + dataset = generate(topology=job["topology"], density_ratio=float(job["density_ratio"]), noise_fraction=float(job["noise_fraction"]), geometry_seed=int(job["geometry_seed"]), sampling_seed=int(job["sampling_seed"]), **job["design_parameters"]) + if job["method"] == "SNN-DBSCAN": + from baselines import warm_numba_kernels + warm_numba_kernels() + elif job["method"] == "kNN+Leiden": + import igraph # noqa: F401 + import leidenalg # noqa: F401 + with threadpool_limits(limits=1), PeakRSS() as memory: + started = perf_counter(); fitted = run_method(job["method"], dataset.X, int(job["sampling_seed"])); runtime = perf_counter() - started + return {"schema_version": 1, "pilot_label": "PILOT / exploratory; not final evidence", "job_id": job["job_id"], "status": "ok", "method": job["method"], "cell_id": job["cell_id"], "topology": job["topology"], "density_ratio": job["density_ratio"], "sampling_seed": int(job["sampling_seed"]), "noise_fraction": float(job["noise_fraction"]), "n": int(dataset.X.shape[0]), "runtime_seconds": runtime, "peak_rss_mb": memory.peak / 2**20, "incremental_rss_mb": max(0.0, (memory.peak - memory.baseline) / 2**20), "dataset_metadata": dataset.metadata, "method_parameters": fitted.parameters, "method_profile": fitted.profile, "metrics": evaluate(dataset.y, fitted.labels)} + + +def main() -> None: + parser = argparse.ArgumentParser(); parser.add_argument("--job", type=Path, required=True); parser.add_argument("--output", type=Path, required=True); args = parser.parse_args(); job = json.loads(args.job.read_text(encoding="utf-8")) + try: payload = execute(job) + except Exception as error: + payload = {"schema_version": 1, "pilot_label": "PILOT / exploratory; not final evidence", "job_id": job.get("job_id"), "status": "error", **{key: job.get(key) for key in ("method", "cell_id", "topology", "density_ratio", "sampling_seed", "noise_fraction")}, "n": job.get("expected_n"), "error_type": type(error).__name__, "error": str(error), "traceback": traceback.format_exc()} + atomic_json(args.output, payload) + + +if __name__ == "__main__": main() diff --git a/topology_noise_results/topology_density_4seed_v1/PILOT_REPORT.md b/topology_noise_results/topology_density_4seed_v1/PILOT_REPORT.md new file mode 100644 index 0000000..5f3b9a6 --- /dev/null +++ b/topology_noise_results/topology_density_4seed_v1/PILOT_REPORT.md @@ -0,0 +1,11 @@ +# PILOT / replicated topology and density stress benchmark + +Manifest rows: 684. Statuses: {'ok': 560, 'skipped_resource_limit': 76, 'timeout': 48}. + +Sampling seeds: [23, 42, 73, 151]; four workers; geometry seed: 3571. + +The Gaussian reference has six noise levels. The topology screens are deliberately separate from the density-ratio screens, so topology is not confounded with the 16x/64x density stress. + +All cells retain six 300-point targets and fixed support within topology. The design audit records total n, local target/background contrast, support area, background density, edge separation, and geometry identity. AMD-DBSCAN is an explicit skip in every cell. + +Figures are exploratory; metrics are aggregated over four sampling seeds where methods completed. Timeouts and errors remain in status tables and are not treated as missing favorable results. diff --git a/topology_noise_results/topology_density_4seed_v1/completion.json b/topology_noise_results/topology_density_4seed_v1/completion.json new file mode 100644 index 0000000..f248529 --- /dev/null +++ b/topology_noise_results/topology_density_4seed_v1/completion.json @@ -0,0 +1,9 @@ +{ + "pilot_label": "PILOT / exploratory; not final evidence", + "status_counts": { + "ok": 560, + "skipped_resource_limit": 76, + "timeout": 48 + }, + "total_jobs": 684 +} \ No newline at end of file diff --git a/topology_noise_results/topology_density_4seed_v1/design_audit.csv b/topology_noise_results/topology_density_4seed_v1/design_audit.csv new file mode 100644 index 0000000..b6c26eb --- /dev/null +++ b/topology_noise_results/topology_density_4seed_v1/design_audit.csv @@ -0,0 +1,20 @@ +cell_id,topology,density_ratio,noise_fraction,total_n,signal_count,window_area,background_density,minimum_local_contrast,minimum_edge_gap,geometry_instance_id +gaussian_noise_curve_r4,compact_gaussian,4.0,0.5,3600,1800,24184.734229571088,0.07442711517578346,4950.000000000001,8.399999999999988,c3d412484906b571 +gaussian_noise_curve_r4,compact_gaussian,4.0,0.75,7200,1800,24184.734229571088,0.22328134552735038,1650.0000000000002,8.399999999999988,c3d412484906b571 +gaussian_noise_curve_r4,compact_gaussian,4.0,0.9,18000,1800,24184.734229571088,0.6698440365820512,550.0,8.399999999999988,c3d412484906b571 +gaussian_noise_curve_r4,compact_gaussian,4.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,260.5263157894737,8.399999999999988,c3d412484906b571 +gaussian_noise_curve_r4,compact_gaussian,4.0,0.975,72000,1800,24184.734229571088,2.902657491855555,126.92307692307693,8.399999999999988,c3d412484906b571 +gaussian_noise_curve_r4,compact_gaussian,4.0,0.99,180000,1800,24184.734229571088,7.368284402402563,50.0,8.399999999999988,c3d412484906b571 +anisotropic_ellipses_screen,anisotropic_ellipses,1.0,0.75,7200,1800,24184.734229571088,0.22328134552735038,1650.0000000000002,1.8176623509137038,cec127122827d9ee +anisotropic_ellipses_screen,anisotropic_ellipses,1.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,260.5263157894737,1.8176623509137038,cec127122827d9ee +anisotropic_ellipses_screen,anisotropic_ellipses,1.0,0.99,180000,1800,24184.734229571088,7.368284402402563,50.0,1.8176623509137038,cec127122827d9ee +moon_arcs_screen,moon_arcs,1.0,0.75,7200,1800,24184.734229571088,0.22328134552735038,4265.490862052118,10.199999999999987,90f6efdbe5a6f389 +moon_arcs_screen,moon_arcs,1.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,673.498557166124,10.199999999999987,90f6efdbe5a6f389 +moon_arcs_screen,moon_arcs,1.0,0.99,180000,1800,24184.734229571088,7.368284402402563,129.2572988500642,10.199999999999987,90f6efdbe5a6f389 +rings_screen,rings,1.0,0.75,7200,1800,24184.734229571088,0.22328134552735038,2132.745431026059,10.199999999999987,f553f1bd001ce056 +rings_screen,rings,1.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,336.749278583062,10.199999999999987,f553f1bd001ce056 +rings_screen,rings,1.0,0.99,180000,1800,24184.734229571088,7.368284402402563,64.6286494250321,10.199999999999987,f553f1bd001ce056 +gaussian_density_r16,compact_gaussian,16.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,260.5263157894737,8.399999999999988,ff1df14ff483a053 +gaussian_density_r16,compact_gaussian,16.0,0.99,180000,1800,24184.734229571088,7.368284402402563,50.0,8.399999999999988,ff1df14ff483a053 +gaussian_density_r64,compact_gaussian,64.0,0.95,36000,1800,24184.734229571088,1.4141151883398857,260.5263157894737,8.399999999999988,072f93308fd6843b +gaussian_density_r64,compact_gaussian,64.0,0.99,180000,1800,24184.734229571088,7.368284402402563,50.0,8.399999999999988,072f93308fd6843b diff --git a/topology_noise_results/topology_density_4seed_v1/manifest.json b/topology_noise_results/topology_density_4seed_v1/manifest.json new file mode 100644 index 0000000..9d280fe --- /dev/null +++ b/topology_noise_results/topology_density_4seed_v1/manifest.json @@ -0,0 +1,10265 @@ +{ + "jobs": [ + { + "cell_id": "gaussian_noise_curve_r4", + "density_ratio": 4.0, + "design_parameters": { + "mass_per_target": 300, + "minimum_local_contrast_at_99pct": 50.0 + }, + "expected_n": 3600, + "geometry_seed": 3571, + "job_id": "gaussian_noise_curve_r4__noise0500__n3600__seed23__stratascan", + "method": "StrataSCAN", + "noise_fraction": 0.5, + "sampling_seed": 23, + "topology": "compact_gaussian" + }, + { + "cell_id": "gaussian_noise_curve_r4", + "density_ratio": 4.0, + "design_parameters": { + "mass_per_target": 300, + "minimum_local_contrast_at_99pct": 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+gaussian_noise_curve_r4__noise0500__n3600__seed73__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,5.278407000005245,183.8984375,1.9609375,,,,,0.7665313237780409,0.8006767418212419,0.8765038055487355,6,6,1.0,0,0,0.3686111111111111 +gaussian_noise_curve_r4__noise0500__n3600__seed73__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,0.022477899998193607,183.5078125,1.79296875,,,,,0.5790782959808266,0.4539806104129265,0.8422284644194756,35,6,5.833333333333333,4,0,0.31333333333333335 +gaussian_noise_curve_r4__noise0500__n3600__seed73__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,0.06266290000348818,227.953125,4.78515625,,,,,0.4957152003538408,0.28351317415294724,0.15877712031558183,69,6,11.5,27,0,0.9366666666666666 +gaussian_noise_curve_r4__noise0500__n3600__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,0.07989649999944959,184.68359375,2.83984375,,,,,0.8960417109225686,0.46813611906515706,0.08815719596388741,52,6,8.666666666666666,5,0,0.9769444444444444 +gaussian_noise_curve_r4__noise0500__n3600__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,0.19576789998973254,227.05078125,14.7890625,,,,,0.9770034724710851,0.504365167128361,0.0,9,6,1.5,0,0,1.0 +gaussian_noise_curve_r4__noise0500__n3600__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.5,3600,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0500__n3600__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.8168230000010226,221.3203125,39.87109375,,,,,0.9122579894463789,0.8783310688594554,0.9920044113592501,10,6,1.6666666666666667,3,0,0.4925 +gaussian_noise_curve_r4__noise0500__n3600__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.0390795999992406,183.5,2.2109375,,,,,0.6816665626431523,0.5650260082703901,0.8676151434772126,26,6,4.333333333333333,6,0,0.34805555555555556 +gaussian_noise_curve_r4__noise0500__n3600__seed151__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.16803359999903478,183.88671875,2.125,,,,,0.9820914043613591,0.8852425041408362,0.6435568952524492,16,6,2.6666666666666665,0,0,0.7627777777777778 +gaussian_noise_curve_r4__noise0500__n3600__seed151__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,4.474184599996079,183.8828125,1.91796875,,,,,0.9705041724338646,0.9466187909118478,0.9730612244897959,6,6,1.0,0,0,0.4791666666666667 +gaussian_noise_curve_r4__noise0500__n3600__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.01970669999718666,183.5390625,1.4140625,,,,,0.5278960872767909,0.39783409836455974,0.8447992486499178,47,6,7.833333333333333,7,0,0.3169444444444444 +gaussian_noise_curve_r4__noise0500__n3600__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.05550230000517331,228.80859375,5.28515625,,,,,0.609619747337007,0.3946909149069287,0.1916342412451362,69,6,11.5,24,0,0.9288888888888889 +gaussian_noise_curve_r4__noise0500__n3600__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.06276980000257026,184.75390625,2.828125,,,,,0.8980537028509977,0.24771987901717044,0.06347498655190964,47,6,7.833333333333333,6,0,0.9836111111111111 +gaussian_noise_curve_r4__noise0500__n3600__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,0.2630207999900449,227.1328125,15.23046875,,,,,0.9717060826715701,0.5657890033829598,0.0,10,6,1.6666666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0500__n3600__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.5,3600,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0750__n7200__seed23__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,1.4793461999943247,223.96484375,42.21484375,,,,,0.9910275673036008,0.9821187387878162,0.9958329474951385,10,6,1.6666666666666667,0,0,0.2501388888888889 +gaussian_noise_curve_r4__noise0750__n7200__seed23__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.122787000000244,187.67578125,5.3671875,,,,,0.974995615546289,0.9008767730466776,0.47263470513364453,337,6,56.166666666666664,0,0,0.7679166666666667 +gaussian_noise_curve_r4__noise0750__n7200__seed23__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.6129842000082135,185.64453125,3.58203125,,,,,0.9707369800808072,0.7319312131535465,0.6012174588783836,41,6,6.833333333333333,0,0,0.6776388888888889 +gaussian_noise_curve_r4__noise0750__n7200__seed23__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,10.305919000005815,185.40234375,3.21484375,,,,,0.9873384239958178,0.9753593200729764,0.9958321756043346,6,6,1.0,0,0,0.2504166666666667 +gaussian_noise_curve_r4__noise0750__n7200__seed23__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.0316272000054596,185.0390625,2.890625,,,,,0.9876636284658313,0.9788736647416298,0.9994442386068915,7,6,1.1666666666666667,1,0,0.25055555555555553 +gaussian_noise_curve_r4__noise0750__n7200__seed23__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.12942339999426622,231.140625,7.7109375,,,,,0.6065645958240057,0.36490301273095277,0.17570715474209653,153,6,25.5,17,0,0.9152777777777777 +gaussian_noise_curve_r4__noise0750__n7200__seed23__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.19058519999089185,189.76953125,7.78125,,,,,0.996130452735844,0.0439368566469027,0.03672059625522633,27,6,4.5,0,0,0.9859722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed23__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,0.37497129999974277,240.15625,28.63671875,,,,,0.9509887043730855,0.28738900520792454,0.0,18,6,3.0,0,0,1.0 +gaussian_noise_curve_r4__noise0750__n7200__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0750__n7200__seed42__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,1.2764613999897847,223.55078125,41.54296875,,,,,0.9932986409231527,0.9866612923692442,0.9976841130152848,8,6,1.3333333333333333,0,0,0.25069444444444444 +gaussian_noise_curve_r4__noise0750__n7200__seed42__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.12895559999742545,189.4765625,7.57421875,,,,,0.9797479604757647,0.9113800583540632,0.46175758438968806,347,6,57.833333333333336,0,0,0.7748611111111111 +gaussian_noise_curve_r4__noise0750__n7200__seed42__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.49288150000211317,185.99609375,3.68359375,,,,,0.9360630880304696,0.5967005188700164,0.5470200457419615,36,6,6.0,0,0,0.7176388888888889 +gaussian_noise_curve_r4__noise0750__n7200__seed42__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,11.118518999996013,185.30078125,3.0859375,,,,,0.990678476839299,0.9794215916783742,0.9926312843951123,7,6,1.1666666666666667,0,0,0.2609722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed42__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.0448026999947615,184.71484375,2.859375,,,,,0.9980615502631048,0.9961077395461436,0.9993514314833688,6,6,1.0,0,0,0.2509722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed42__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.14107879999210127,231.65234375,8.34765625,,,,,0.49035471565950467,0.22069105028165903,0.17718567860116569,179,6,29.833333333333332,27,0,0.9159722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed42__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.15177219999895897,189.27734375,7.2265625,,,,,0.9955813083496398,0.04124583259602512,0.03672059625522633,29,6,4.833333333333333,0,0,0.9859722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed42__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,0.5215639000089141,240.41796875,28.62890625,,,,,0.9580045460022101,0.2779559546717982,0.0,17,6,2.8333333333333335,0,0,1.0 +gaussian_noise_curve_r4__noise0750__n7200__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0750__n7200__seed73__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,1.221942799995304,224.44921875,42.8203125,,,,,0.9560475917217262,0.9405472510569853,0.9979640940218397,8,6,1.3333333333333333,2,0,0.24916666666666668 +gaussian_noise_curve_r4__noise0750__n7200__seed73__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.11169190000509843,189.8125,7.69921875,,,,,0.9797110073907085,0.9113090712673495,0.4650369528140989,337,6,56.166666666666664,0,0,0.7727777777777778 +gaussian_noise_curve_r4__noise0750__n7200__seed73__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.581843599997228,185.39453125,3.52734375,,,,,0.9421170849764758,0.6839940064739232,0.5961263486286235,38,6,6.333333333333333,0,0,0.6815277777777777 +gaussian_noise_curve_r4__noise0750__n7200__seed73__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,10.341076199998497,185.60546875,3.23046875,,,,,0.8614410254337637,0.8817197983619848,0.9661976977891468,7,6,1.1666666666666667,0,0,0.22972222222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed73__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.048151599999982864,185.2109375,2.85546875,,,,,0.996661965911322,0.9933762543637102,0.9993514314833688,7,6,1.1666666666666667,0,0,0.2509722222222222 +gaussian_noise_curve_r4__noise0750__n7200__seed73__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.1414909000013722,230.2265625,7.06640625,,,,,0.49343460374343967,0.23635787727611832,0.178,170,6,28.333333333333332,27,0,0.9166666666666666 +gaussian_noise_curve_r4__noise0750__n7200__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.17525050000404008,189.796875,7.453125,,,,,0.9928464657162693,0.04066323227817459,0.03600654664484452,38,6,6.333333333333333,0,0,0.98625 +gaussian_noise_curve_r4__noise0750__n7200__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,0.42311780000454746,240.51953125,28.265625,,,,,0.9541627503275657,0.27848263700600634,0.0,17,6,2.8333333333333335,0,0,1.0 +gaussian_noise_curve_r4__noise0750__n7200__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0750__n7200__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,10.368891299993265,261.234375,79.40625,,,,,0.9589499559545759,0.93926366347831,0.9951842933876643,11,6,1.8333333333333333,1,0,0.25027777777777777 +gaussian_noise_curve_r4__noise0750__n7200__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.12415010000404436,188.73828125,6.39453125,,,,,0.9756191960396666,0.9058455821092973,0.48845346396081174,333,6,55.5,0,0,0.7576388888888889 +gaussian_noise_curve_r4__noise0750__n7200__seed151__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.47000840000691824,185.421875,3.6875,,,,,0.9513207985010387,0.6652156017902234,0.5472154963680387,37,6,6.166666666666667,0,0,0.7175 +gaussian_noise_curve_r4__noise0750__n7200__seed151__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,10.357226500011166,185.21875,3.14453125,,,,,0.9797880959410253,0.9578773050906131,0.9853749417792269,8,6,1.3333333333333333,0,0,0.2590277777777778 +gaussian_noise_curve_r4__noise0750__n7200__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.04445229998964351,184.92578125,2.82421875,,,,,0.9961184754365083,0.9922211016521817,0.99870322341608,6,6,1.0,0,0,0.25055555555555553 +gaussian_noise_curve_r4__noise0750__n7200__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.12702089999220334,229.421875,6.62890625,,,,,0.6071582793762434,0.33015886775205283,0.17513368983957217,171,6,28.5,24,0,0.9188888888888889 +gaussian_noise_curve_r4__noise0750__n7200__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.16956730000674725,189.5078125,7.69921875,,,,,0.9964059302761602,0.041928528452775754,0.03529197744224122,28,6,4.666666666666667,0,0,0.9865277777777778 +gaussian_noise_curve_r4__noise0750__n7200__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,0.37794010000652634,240.3203125,28.6015625,,,,,0.9536786209195331,0.29702773583406183,0.0,18,6,3.0,0,0,1.0 +gaussian_noise_curve_r4__noise0750__n7200__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0900__n18000__seed23__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,1.6591705000028014,236.046875,52.8125,,,,,0.9593872056493652,0.948530698002549,0.9992899262140718,7,6,1.1666666666666667,1,0,0.1005 +gaussian_noise_curve_r4__noise0900__n18000__seed23__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,0.2229966000013519,192.6953125,9.58203125,,,,,0.979411906605545,0.8516820007405931,0.5424445544109047,1014,6,169.0,0,0,0.6650555555555555 +gaussian_noise_curve_r4__noise0900__n18000__seed23__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,3.3706882999977097,186.46484375,4.1953125,,,,,0.9343835772764102,0.4355975991142363,0.5693469333686582,103,6,17.166666666666668,0,0,0.6418333333333334 +gaussian_noise_curve_r4__noise0900__n18000__seed23__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,23.014974099991377,186.66015625,3.9765625,,,,,0.985504039194334,0.9647695683444021,0.9929527180155847,10,6,1.6666666666666667,0,0,0.1105 +gaussian_noise_curve_r4__noise0900__n18000__seed23__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,0.0830561999900965,186.84375,3.625,,,,,0.9841969001405855,0.9320933132436223,0.7829614604462475,806,6,134.33333333333334,0,0,0.421 +gaussian_noise_curve_r4__noise0900__n18000__seed23__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,0.34803649999958,248.484375,25.63671875,,,,,0.5657205641419126,0.19712177420641394,0.17356670032536745,448,6,74.66666666666667,18,0,0.9096666666666666 +gaussian_noise_curve_r4__noise0900__n18000__seed23__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,0.5001364000054309,190.609375,7.81640625,,,,,0.9321748831239148,0.0035954205695903113,0.001603651390859187,154,6,25.666666666666668,3,0,0.9992777777777778 +gaussian_noise_curve_r4__noise0900__n18000__seed23__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,3.224621000001207,276.7578125,64.68359375,,,,,0.9482904273121188,0.08946414269846595,0.0,31,6,5.166666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0900__n18000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.9,18000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0900__n18000__seed42__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,1.8793167999974685,244.0546875,61.17578125,,,,,0.9919505947321231,0.9839048725786992,0.9989189189189189,9,6,1.5,0,0,0.10138888888888889 +gaussian_noise_curve_r4__noise0900__n18000__seed42__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,0.3365955000044778,191.94140625,9.53125,,,,,0.9809910478560498,0.8556534015481889,0.5346660033467505,1049,6,174.83333333333334,0,0,0.6716111111111112 +gaussian_noise_curve_r4__noise0900__n18000__seed42__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,3.1599265999975614,186.9765625,4.0859375,,,,,0.9344243587546145,0.41428171156386345,0.5468897161053057,106,6,17.666666666666668,0,0,0.6612777777777777 +gaussian_noise_curve_r4__noise0900__n18000__seed42__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,20.579617399998824,189.0078125,5.890625,,,,,0.9876304038144424,0.9718273681679318,0.9959112873249907,8,6,1.3333333333333333,0,0,0.10644444444444444 +gaussian_noise_curve_r4__noise0900__n18000__seed42__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,0.07462569999916013,184.9453125,1.7578125,,,,,0.9874258591744983,0.9383614068795734,0.7807172694087985,816,6,136.0,0,0,0.4237222222222222 +gaussian_noise_curve_r4__noise0900__n18000__seed42__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,0.270640499991714,246.21484375,22.76171875,,,,,0.4916030110050497,0.13801347144971168,0.17396184062850728,471,6,78.5,27,0,0.91 +gaussian_noise_curve_r4__noise0900__n18000__seed42__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,0.35297710000304505,190.21484375,7.3046875,,,,,0.9953112633133344,0.004796387512784239,0.04146769026174213,78,6,13.0,0,0,0.9809444444444444 +gaussian_noise_curve_r4__noise0900__n18000__seed42__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,1.2376279000018258,275.8203125,63.8828125,,,,,0.9756638834514543,0.07480849608791318,0.0,27,6,4.5,0,0,1.0 +gaussian_noise_curve_r4__noise0900__n18000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.9,18000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0900__n18000__seed73__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,1.2212153000000399,236.0,52.9609375,,,,,0.9733572979071056,0.9552761783017846,0.998764974681981,8,6,1.3333333333333333,1,0,0.10066666666666667 +gaussian_noise_curve_r4__noise0900__n18000__seed73__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,0.21025100001133978,193.0546875,9.71875,,,,,0.964186606601571,0.8274589691355653,0.5427067872082041,1006,6,167.66666666666666,0,0,0.6648333333333334 +gaussian_noise_curve_r4__noise0900__n18000__seed73__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,3.121706899997662,186.265625,3.2734375,,,,,0.9197009935980538,0.34633115487476224,0.5529900406413291,103,6,17.166666666666668,0,0,0.6560555555555555 +gaussian_noise_curve_r4__noise0900__n18000__seed73__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,20.769980299999588,186.06640625,3.2109375,,,,,0.8795030226567743,0.8777019012404058,0.9898369615278333,7,6,1.1666666666666667,0,0,0.09061111111111111 +gaussian_noise_curve_r4__noise0900__n18000__seed73__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,0.07525619999796618,186.296875,3.55859375,,,,,0.9782384165217262,0.9218228756740373,0.787878787878788,785,6,130.83333333333334,0,0,0.415 +gaussian_noise_curve_r4__noise0900__n18000__seed73__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,0.2849886000039987,242.8046875,19.2109375,,,,,0.47185910677145393,0.13411543321321867,0.18141172525568655,448,6,74.66666666666667,28,0,0.9059444444444444 +gaussian_noise_curve_r4__noise0900__n18000__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,0.40699879999738187,190.0078125,7.1875,,,,,0.994761220409988,0.004922140642806692,0.041112454655380895,96,6,16.0,0,0,0.9811111111111112 +gaussian_noise_curve_r4__noise0900__n18000__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,1.7488875999988522,275.7109375,63.87890625,,,,,0.9512293959977933,0.07687025238352058,0.0,28,6,4.666666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0900__n18000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.9,18000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0900__n18000__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,1.2853497000032803,236.23046875,53.11328125,,,,,0.9919537829207877,0.9838204767333479,0.9986722247954299,8,6,1.3333333333333333,0,0,0.10083333333333333 +gaussian_noise_curve_r4__noise0900__n18000__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,0.2056245999992825,191.6640625,8.8671875,,,,,0.9687733665124781,0.8345298753012029,0.5398828301036502,1025,6,170.83333333333334,0,0,0.6672222222222223 +gaussian_noise_curve_r4__noise0900__n18000__seed151__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,3.3008694000018295,186.890625,4.140625,,,,,0.9178854084447563,0.3978100490277602,0.525395958492627,112,6,18.666666666666668,0,0,0.6793333333333333 +gaussian_noise_curve_r4__noise0900__n18000__seed151__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,21.377725300000748,187.0390625,3.953125,,,,,0.9715933607423665,0.9366826214247606,0.991921255455474,9,6,1.5,0,0,0.10516666666666667 +gaussian_noise_curve_r4__noise0900__n18000__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,0.08293590000539552,186.7578125,3.9296875,,,,,0.9868742518913146,0.9370951790614422,0.784650587043775,793,6,132.16666666666666,0,0,0.41894444444444445 +gaussian_noise_curve_r4__noise0900__n18000__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,0.30889709999610204,248.6484375,25.48828125,,,,,0.5897308727402241,0.19231835812670864,0.16973380606674546,455,6,75.83333333333333,25,0,0.9128333333333334 +gaussian_noise_curve_r4__noise0900__n18000__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,0.3906096999999136,190.26953125,7.640625,,,,,0.9947547818139512,0.005231403806333276,0.0392156862745098,82,6,13.666666666666666,0,0,0.982 +gaussian_noise_curve_r4__noise0900__n18000__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,1.0748339999991003,276.3515625,64.375,,,,,0.9302989464977182,0.07622780300764148,0.0,28,6,4.666666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0900__n18000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.9,18000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0950__n36000__seed23__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,2.86113689999911,261.04296875,76.890625,,,,,0.9811146316450077,0.9621729837946055,0.9988879133743049,7,6,1.1666666666666667,0,0,0.051666666666666666 +gaussian_noise_curve_r4__noise0950__n36000__seed23__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,0.5742617000069004,197.515625,13.34375,,,,,0.9668833588535101,0.6879643311841372,0.46419830702561915,2137,6,356.1666666666667,0,0,0.7128611111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed23__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,12.57104119998985,189.16015625,4.984375,,,,,0.9185141212856128,0.25512126792710416,0.5615746971736204,223,6,37.166666666666664,0,0,0.6291111111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed23__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,44.36978799999633,193.9921875,9.234375,,,,,0.978520214270946,0.9435552735564254,0.9943901077921696,12,6,2.0,0,0,0.0585 +gaussian_noise_curve_r4__noise0950__n36000__seed23__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,0.16370770000503398,194.69140625,10.6328125,,,,,0.9809331426124256,0.8694486222421823,0.7244279506927997,1959,6,326.5,0,0,0.4604722222222222 +gaussian_noise_curve_r4__noise0950__n36000__seed23__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,0.5770331999956397,277.4140625,53.5703125,,,,,0.5628277482465696,0.11851676866404352,0.1704205807002562,914,6,152.33333333333334,18,0,0.9091111111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed23__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,0.729834599987953,197.48828125,13.26171875,,,,,0.9905776594727277,0.0009568602271101504,0.022433580989274667,67,6,11.166666666666666,0,0,0.9891388888888889 +gaussian_noise_curve_r4__noise0950__n36000__seed23__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,5.233881100008148,337.953125,125.29296875,,,,,0.8691084797135491,0.024224444201589864,0.0,34,6,5.666666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0950__n36000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0950__n36000__seed42__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,2.6376954000006663,265.4140625,80.81640625,,,,,0.9374740932288246,0.9293209183278626,0.9990049168812924,9,6,1.5,1,0,0.05177777777777778 +gaussian_noise_curve_r4__noise0950__n36000__seed42__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,0.4719335999980103,196.40625,11.96875,,,,,0.9649307110991835,0.6782702721776862,0.4615384615384615,2109,6,351.5,0,0,0.715 +gaussian_noise_curve_r4__noise0950__n36000__seed42__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,12.356988700004877,191.83203125,7.60546875,,,,,0.8854326143849182,0.21072232889284248,0.5553466956723763,192,6,32.0,0,0,0.6348055555555555 +gaussian_noise_curve_r4__noise0950__n36000__seed42__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,43.6152648999996,191.94140625,7.6015625,,,,,0.9808115316587301,0.949807807108225,0.994728108433558,12,6,2.0,0,0,0.058416666666666665 +gaussian_noise_curve_r4__noise0950__n36000__seed42__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,0.2218262000096729,195.11328125,10.67578125,,,,,0.9784364369283493,0.8643089543178512,0.7283172513804451,1926,6,321.0,0,0,0.4559166666666667 +gaussian_noise_curve_r4__noise0950__n36000__seed42__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,0.5672825999936322,273.2265625,48.890625,,,,,0.5015691865639929,0.073711442000079,0.16754878374766108,867,6,144.5,26,0,0.9108333333333334 +gaussian_noise_curve_r4__noise0950__n36000__seed42__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,0.7501238999975612,197.703125,13.5,,,,,0.9936511047559184,0.0009856495572712492,0.024947304593884445,69,6,11.5,0,0,0.9879722222222223 +gaussian_noise_curve_r4__noise0950__n36000__seed42__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,5.34815879999951,336.94140625,124.7109375,,,,,0.8043980945412289,0.025735643962524084,0.0,36,6,6.0,0,0,1.0 +gaussian_noise_curve_r4__noise0950__n36000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0950__n36000__seed73__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,2.706502200002433,270.21875,85.84765625,,,,,0.9858208492392412,0.971705880931626,0.9989616998873957,9,6,1.5,0,0,0.050527777777777776 +gaussian_noise_curve_r4__noise0950__n36000__seed73__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,0.46436469999025576,197.89453125,13.25390625,,,,,0.9491029415666642,0.6699596181902377,0.47082494969818917,2093,6,348.8333333333333,0,0,0.7075 +gaussian_noise_curve_r4__noise0950__n36000__seed73__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,12.145369400008349,189.25390625,5.0078125,,,,,0.8733828139028085,0.22687848174370148,0.5442162392252846,198,6,33.0,0,0,0.6448611111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed73__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,44.33000339999853,195.84375,11.33203125,,,,,0.8886165596253915,0.887109553051096,0.992258045632162,12,6,2.0,0,0,0.051972222222222225 +gaussian_noise_curve_r4__noise0950__n36000__seed73__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,0.1775424999941606,189.515625,5.37109375,,,,,0.9705282635869631,0.8458679292394538,0.7230467656118735,1912,6,318.6666666666667,0,0,0.46208333333333335 +gaussian_noise_curve_r4__noise0950__n36000__seed73__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,0.6723872000002302,276.91796875,53.3984375,,,,,0.48410018402328586,0.08174347100996614,0.17396632566069906,886,6,147.66666666666666,26,0,0.9073333333333333 +gaussian_noise_curve_r4__noise0950__n36000__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,0.7721195999911288,198.15625,13.58984375,,,,,0.9914472495646961,0.000977271900994474,0.02203522165350915,77,6,12.833333333333334,0,0,0.9894166666666667 +gaussian_noise_curve_r4__noise0950__n36000__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,3.078808199992636,337.4921875,124.984375,,,,,0.7666322667760039,0.026141642237199995,0.0,36,6,6.0,0,0,1.0 +gaussian_noise_curve_r4__noise0950__n36000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0950__n36000__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,3.3720850000099745,270.35546875,85.9609375,,,,,0.9872566812641949,0.9744734148873675,0.9989614568858333,10,6,1.6666666666666667,0,0,0.050972222222222224 +gaussian_noise_curve_r4__noise0950__n36000__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,0.470441600002232,197.73828125,13.44140625,,,,,0.9598989568032698,0.6701723496003497,0.4592165431486946,2113,6,352.1666666666667,0,0,0.7168611111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed151__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,12.557951400012826,189.94140625,5.1171875,,,,,0.9579305903501023,0.2704833872842654,0.5565356856455493,224,6,37.333333333333336,0,0,0.6337222222222222 +gaussian_noise_curve_r4__noise0950__n36000__seed151__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,44.80487439999706,192.875,8.43359375,,,,,0.9749485017207192,0.9430680633768493,0.9962793695435637,9,6,1.5,0,0,0.05366666666666667 +gaussian_noise_curve_r4__noise0950__n36000__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,0.16872080000757705,195.90234375,11.35546875,,,,,0.9807084391998617,0.8657465495608533,0.7292150487691593,1882,6,313.6666666666667,0,0,0.4548611111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,0.5731249000091339,275.265625,51.6328125,,,,,0.5880209021175846,0.11285851683692238,0.1668717564603285,934,6,155.66666666666666,26,0,0.9116111111111111 +gaussian_noise_curve_r4__noise0950__n36000__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,0.8733528000011574,197.875,13.48828125,,,,,0.9889224726995044,0.0009653570503802756,0.025974025974025976,69,6,11.5,0,0,0.9875 +gaussian_noise_curve_r4__noise0950__n36000__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,5.644628499998362,338.81640625,126.0,,,,,0.7741801732773964,0.02524821310955529,0.0,35,6,5.833333333333333,0,0,1.0 +gaussian_noise_curve_r4__noise0950__n36000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0975__n72000__seed23__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,5.375086100000772,324.25390625,139.41796875,,,,,0.9420181106980569,0.9154793296831966,0.9993306178255049,7,6,1.1666666666666667,1,0,0.02461111111111111 +gaussian_noise_curve_r4__noise0975__n72000__seed23__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,1.1454605999897467,208.01171875,23.09765625,,,,,0.9497748532762299,0.5264300763529018,0.4587180134587729,4399,6,733.1666666666666,0,0,0.7098194444444444 +gaussian_noise_curve_r4__noise0975__n72000__seed23__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,48.486395900006755,198.2109375,13.1171875,,,,,0.897984970629957,0.10737797626232466,0.5458010523263039,420,6,70.0,0,0,0.6340555555555556 +gaussian_noise_curve_r4__noise0975__n72000__seed23__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,100.10858249999,200.9453125,15.890625,,,,,0.9796706800333536,0.9395853035619314,0.9960548321159536,16,6,2.6666666666666665,0,0,0.03169444444444444 +gaussian_noise_curve_r4__noise0975__n72000__seed23__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,0.4029927000083262,202.65234375,17.76953125,,,,,0.9676074211239242,0.7525725480215957,0.6984936268829665,4171,6,695.1666666666666,0,0,0.47673611111111114 +gaussian_noise_curve_r4__noise0975__n72000__seed23__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,1.336244699996314,298.6015625,74.3515625,,,,,0.5905956798229314,0.06978761194153726,0.17436696532917803,1831,6,305.1666666666667,18,0,0.9054166666666666 +gaussian_noise_curve_r4__noise0975__n72000__seed23__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,1.7627730999956839,212.65234375,27.80859375,,,,,0.975574180305487,0.00021782361263053242,0.019801980198019802,130,6,21.666666666666668,2,1,0.99025 +gaussian_noise_curve_r4__noise0975__n72000__seed23__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,24.856688400002895,458.19921875,244.8359375,,,,,0.8555953501715852,0.008179929137982135,0.0,46,6,7.666666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0975__n72000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.975,72000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0975__n72000__seed42__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,3.588202699989779,309.50390625,124.85546875,,,,,0.9796865448371563,0.958712308739922,0.9992444761225946,12,6,2.0,0,0,0.02638888888888889 +gaussian_noise_curve_r4__noise0975__n72000__seed42__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,1.1088230999885127,208.703125,23.29296875,,,,,0.9461684395687348,0.5235500232494343,0.4556833930967728,4376,6,729.3333333333334,0,0,0.7123055555555555 +gaussian_noise_curve_r4__noise0975__n72000__seed42__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,48.38315069999953,193.23828125,8.66015625,,,,,0.8774041100489568,0.14145687970093776,0.551427421767795,443,6,73.83333333333333,0,0,0.6288472222222222 +gaussian_noise_curve_r4__noise0975__n72000__seed42__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,101.29931940000097,201.23046875,16.46484375,,,,,0.9812715768944956,0.9370753457369855,0.995334525939177,18,6,3.0,0,0,0.034027777777777775 +gaussian_noise_curve_r4__noise0975__n72000__seed42__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,0.5382850000023609,199.609375,15.140625,,,,,0.9655137961871586,0.7468206007035266,0.7017190201862349,4096,6,682.6666666666666,0,0,0.4730138888888889 +gaussian_noise_curve_r4__noise0975__n72000__seed42__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,1.3646597000042675,305.4453125,80.90234375,,,,,0.551250212568704,0.05731846584450948,0.17225863503953392,1891,6,315.1666666666667,23,0,0.907 +gaussian_noise_curve_r4__noise0975__n72000__seed42__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,1.9013943000027211,212.4140625,27.61328125,,,,,0.9798720553957875,0.00021781973784731958,0.020499950653488797,110,6,18.333333333333332,0,0,0.9899027777777778 +gaussian_noise_curve_r4__noise0975__n72000__seed42__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,41.25347340000735,466.2265625,252.9296875,,,,,0.7151964581414775,0.00774952130291138,0.0,43,6,7.166666666666667,0,0,1.0 +gaussian_noise_curve_r4__noise0975__n72000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,42,0.975,72000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0975__n72000__seed73__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,3.423991000003298,309.04296875,124.296875,,,,,0.9747462460689795,0.9493376234170232,0.9992159993157812,9,6,1.5,0,0,0.026305555555555554 +gaussian_noise_curve_r4__noise0975__n72000__seed73__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,1.5444130999967456,208.3984375,23.45703125,,,,,0.9574667030962032,0.5174203968620212,0.45248330136895704,4435,6,739.1666666666666,0,0,0.7149166666666666 +gaussian_noise_curve_r4__noise0975__n72000__seed73__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,48.518196799996076,197.98828125,13.09375,,,,,0.9234931561469919,0.11141237857354894,0.5507395976341134,412,6,68.66666666666667,0,0,0.6294861111111111 +gaussian_noise_curve_r4__noise0975__n72000__seed73__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,102.72150629998941,202.8828125,17.66015625,,,,,0.8797558407507414,0.8646718313509779,0.9949630432921435,15,6,2.5,0,0,0.028277777777777777 +gaussian_noise_curve_r4__noise0975__n72000__seed73__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,0.49711079998814967,201.15625,15.7265625,,,,,0.9678377773197293,0.7507254792230325,0.699650832167897,4147,6,691.1666666666666,0,0,0.4754027777777778 +gaussian_noise_curve_r4__noise0975__n72000__seed73__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,1.3877417000039713,302.734375,78.3125,,,,,0.4757778475979129,0.04980133038678942,0.17671401699422717,1930,6,321.6666666666667,26,0,0.904375 +gaussian_noise_curve_r4__noise0975__n72000__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,2.0231205000018235,212.93359375,28.0703125,,,,,0.9811245666259688,0.00022295247947986134,0.020332482621508437,119,6,19.833333333333332,0,0,0.9899861111111111 +gaussian_noise_curve_r4__noise0975__n72000__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,22.426707800012082,458.8125,244.9609375,,,,,0.6052828269662452,0.00806464627647774,0.0,45,6,7.5,0,0,1.0 +gaussian_noise_curve_r4__noise0975__n72000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.975,72000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0975__n72000__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,4.152318700012984,309.1796875,124.1484375,,,,,0.978784745736338,0.9573831301448555,0.9993372055731746,9,6,1.5,0,0,0.026180555555555554 +gaussian_noise_curve_r4__noise0975__n72000__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,1.0889903999923263,209.015625,23.28125,,,,,0.9457235981678157,0.5068555461693417,0.45576832125298344,4319,6,719.8333333333334,0,0,0.7122361111111111 +gaussian_noise_curve_r4__noise0975__n72000__seed151__hdbscan,ok,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,48.242248599999584,195.25,9.953125,,,,,0.9059651481235856,0.1518896031820618,0.574720578233019,422,6,70.33333333333333,0,0,0.6068472222222222 +gaussian_noise_curve_r4__noise0975__n72000__seed151__optics,ok,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,102.32999749999726,203.1640625,17.98828125,,,,,0.9622741028439158,0.8976669419537517,0.9945859348738745,18,6,3.0,0,0,0.033041666666666664 +gaussian_noise_curve_r4__noise0975__n72000__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,0.415873100006138,203.81640625,19.046875,,,,,0.9716861059223824,0.7527630684536049,0.7007578912301158,4094,6,682.3333333333334,0,0,0.474125 +gaussian_noise_curve_r4__noise0975__n72000__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,1.333395900001051,306.49609375,82.03515625,,,,,0.5718168088990983,0.07158166927626636,0.1757169005491153,1859,6,309.8333333333333,25,0,0.9050972222222222 +gaussian_noise_curve_r4__noise0975__n72000__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,1.9814419000031194,212.30078125,27.55078125,,,,,0.975356028961888,0.00021816236264030186,0.021057972852974755,107,6,17.833333333333332,1,0,0.989625 +gaussian_noise_curve_r4__noise0975__n72000__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,7.318409200001042,456.7734375,243.19140625,,,,,0.4916981965052176,0.008215510015869886,0.0,45,6,7.5,0,0,1.0 +gaussian_noise_curve_r4__noise0975__n72000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.975,72000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed23__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.99,180000,13.426329900001292,410.1875,224.48046875,,,,,0.9548542133721397,0.9095500615190097,0.9993879705327464,15,6,2.5,0,0,0.011155555555555556 +gaussian_noise_curve_r4__noise0990__n180000__seed23__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.99,180000,3.6907541999971727,237.8828125,51.51953125,,,,,0.9234754730671487,0.3281967473031399,0.4748112771529811,11287,6,1881.1666666666667,0,0,0.6918 +gaussian_noise_curve_r4__noise0990__n180000__seed23__hdbscan,timeout,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.99,180000,,,,,,,240,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed23__optics,timeout,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,23,0.99,180000,,,,,,,240,,,,,,,,, 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compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed73__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,16.38461670000106,506.03515625,320.171875,,,,,0.96006074582553,0.9202862591790192,0.9995059565915496,11,6,1.8333333333333333,0,0,0.010866666666666667 +gaussian_noise_curve_r4__noise0990__n180000__seed73__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,4.465469100003247,236.53515625,51.16015625,,,,,0.9378877655838348,0.33007348458737135,0.474595857783028,11108,6,1851.3333333333333,0,0,0.6919833333333333 +gaussian_noise_curve_r4__noise0990__n180000__seed73__hdbscan,timeout,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,,,,,,,240,,,,,,,,, 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+gaussian_noise_curve_r4__noise0990__n180000__seed73__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,6.256127899992862,254.4765625,68.62890625,,,,,0.9159793397453241,2.8138251469949225e-05,0.021604338630800062,349,6,58.166666666666664,5,1,0.9891722222222222 +gaussian_noise_curve_r4__noise0990__n180000__seed73__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,95.47985109999718,831.5078125,615.5703125,,,,,0.15755489804227915,0.0017588380139601152,0.0,58,6,9.666666666666666,0,2,1.0 +gaussian_noise_curve_r4__noise0990__n180000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,73,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed151__stratascan,ok,StrataSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,15.642996099995798,502.515625,316.61328125,,,,,0.9594049666778846,0.9185376764752982,0.9994273073338349,15,6,2.5,0,0,0.011044444444444445 +gaussian_noise_curve_r4__noise0990__n180000__seed151__dbscan,ok,DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,4.8520198000042,237.83203125,51.9921875,,,,,0.9259967110512574,0.32311312665880054,0.47365107644078613,11133,6,1855.5,0,0,0.6927722222222222 +gaussian_noise_curve_r4__noise0990__n180000__seed151__hdbscan,timeout,HDBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,,,,,,,240,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed151__optics,timeout,OPTICS,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,,,,,,,240,,,,,,,,, +gaussian_noise_curve_r4__noise0990__n180000__seed151__knn_dbscan,ok,kNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,1.9646350999973947,219.55859375,33.734375,,,,,0.9531228543272204,0.5440840255321485,0.6874638639184217,10560,6,1760.0,0,0,0.4814277777777778 +gaussian_noise_curve_r4__noise0990__n180000__seed151__snn_dbscan,ok,SNN-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,5.4890551999997115,361.6328125,134.42578125,,,,,0.5153367537826621,0.025173808816623202,0.17333968615034662,4672,6,778.6666666666666,29,0,0.9056166666666666 +gaussian_noise_curve_r4__noise0990__n180000__seed151__vdbscan_2007,ok,VDBSCAN-2007,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,8.771134000009624,254.1484375,68.8203125,,,,,0.928087657987238,2.920759913776307e-05,0.023184868822452718,355,6,59.166666666666664,5,1,0.9883888888888889 +gaussian_noise_curve_r4__noise0990__n180000__seed151__knnplusleiden,ok,kNN+Leiden,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,105.92075040000782,841.57421875,625.45703125,,,,,0.14466737766134483,0.0017686695509629314,0.0,57,6,9.5,0,2,1.0 +gaussian_noise_curve_r4__noise0990__n180000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_noise_curve_r4,compact_gaussian,4.0,151,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +anisotropic_ellipses_screen__noise0750__n7200__seed23__stratascan,ok,StrataSCAN,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,23,0.75,7200,7.7670213999954285,237.70703125,55.87109375,,,,,0.8156103082654815,0.7042014876080527,0.9952712100139082,22,6,3.6666666666666665,14,0,0.2520833333333333 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+anisotropic_ellipses_screen__noise0750__n7200__seed23__knn_dbscan,ok,kNN-DBSCAN,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,23,0.75,7200,0.058155400009127334,185.1953125,2.8515625,,,,,0.9545074012700723,0.9309139357067484,0.9975881261595547,10,6,1.6666666666666667,3,0,0.25277777777777777 +anisotropic_ellipses_screen__noise0750__n7200__seed23__snn_dbscan,ok,SNN-DBSCAN,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,23,0.75,7200,0.11056479999388102,232.3828125,9.359375,,,,,0.7498864844701556,0.4923435373682113,0.1723325479636486,141,6,23.5,11,0,0.9247222222222222 +anisotropic_ellipses_screen__noise0750__n7200__seed23__vdbscan_2007,ok,VDBSCAN-2007,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,23,0.75,7200,0.12770799999998417,186.859375,5.01953125,,,,,0.9925601184210527,0.043789925780587546,0.037434126839905504,24,6,4.0,0,0,0.9856944444444444 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+anisotropic_ellipses_screen__noise0750__n7200__seed42__knn_dbscan,ok,kNN-DBSCAN,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,42,0.75,7200,0.034396000002743676,185.1796875,2.84765625,,,,,0.9845907687595942,0.9712320211924929,0.9986099527383931,8,6,1.3333333333333333,1,0,0.25125 +anisotropic_ellipses_screen__noise0750__n7200__seed42__snn_dbscan,ok,SNN-DBSCAN,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,42,0.75,7200,0.10640710000006948,227.6953125,4.3828125,,,,,0.7521258112845244,0.51452883535118,0.1779347460477632,150,6,25.0,8,0,0.9241666666666667 +anisotropic_ellipses_screen__noise0750__n7200__seed42__vdbscan_2007,ok,VDBSCAN-2007,anisotropic_ellipses_screen,anisotropic_ellipses,1.0,42,0.75,7200,0.14481899999373127,187.3359375,5.1875,,,,,0.996127697960441,0.04105757665244349,0.03707742639040349,22,6,3.6666666666666665,0,0,0.9858333333333333 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180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0750__n7200__seed42__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.75,7200,1.0502470999927027,224.02734375,42.16796875,,,,,0.7805931434016559,0.7157055852573243,0.9978745032806579,15,6,2.5,9,0,0.24708333333333332 +moon_arcs_screen__noise0750__n7200__seed42__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.75,7200,0.12173440000333358,189.40234375,7.6796875,,,,,0.9804461264710089,0.9108910891089108,0.47285067873303166,348,6,58.0,0,0,0.7677777777777778 +moon_arcs_screen__noise0750__n7200__seed42__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.75,7200,0.5687472999998135,185.921875,3.609375,,,,,0.9582887342164627,0.7301597207430752,0.5828631413200367,43,6,7.166666666666667,0,0,0.6915277777777777 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+moon_arcs_screen__noise0750__n7200__seed73__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,1.2283725000015693,231.54296875,48.984375,,,,,0.8890993450598744,0.8472546866253305,0.997687112591359,13,6,2.1666666666666665,4,0,0.24875 +moon_arcs_screen__noise0750__n7200__seed73__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.11108570000214968,186.96484375,5.0234375,,,,,0.9858528657548301,0.9187796721277893,0.4687367077839218,334,6,55.666666666666664,0,0,0.7704166666666666 +moon_arcs_screen__noise0750__n7200__seed73__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.3464572000084445,185.8046875,3.60546875,,,,,0.9473561533465351,0.645717055472638,0.5487772104273044,37,6,6.166666666666667,0,0,0.7163888888888889 +moon_arcs_screen__noise0750__n7200__seed73__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,5.978616699998383,185.23828125,3.1953125,,,,,0.6816798611806906,0.6783040853706338,0.9254128929142247,11,6,1.8333333333333333,1,0,0.18583333333333332 +moon_arcs_screen__noise0750__n7200__seed73__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.025084199995035306,184.6875,2.8671875,,,,,0.9988907376594565,0.9977753058954394,0.9996294924045943,6,6,1.0,0,0,0.25055555555555553 +moon_arcs_screen__noise0750__n7200__seed73__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.08645789998990949,227.05078125,4.5625,,,,,0.6038258877470106,0.35475930982966164,0.1966777408637874,178,6,29.666666666666668,18,0,0.9138888888888889 +moon_arcs_screen__noise0750__n7200__seed73__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.10518339999543969,189.33984375,6.828125,,,,,0.9958549660585775,0.03947746853923757,0.030275396680649276,34,6,5.666666666666667,0,0,0.9884722222222222 +moon_arcs_screen__noise0750__n7200__seed73__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,0.4260138000099687,240.1640625,28.71875,,,,,0.7804277308278776,0.17778214438088744,0.0,22,6,3.6666666666666665,5,0,1.0 +moon_arcs_screen__noise0750__n7200__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0750__n7200__seed151__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.8758743000071263,231.375,49.26171875,,,,,0.8648838440633861,0.823063872953687,0.9976901044072809,10,6,1.6666666666666667,4,0,0.24680555555555556 +moon_arcs_screen__noise0750__n7200__seed151__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.07877540000481531,186.625,4.71875,,,,,0.9723886169166808,0.8973948537356436,0.485273492286115,337,6,56.166666666666664,0,0,0.7597222222222222 +moon_arcs_screen__noise0750__n7200__seed151__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.3899513000069419,185.515625,3.6015625,,,,,0.9666465526783776,0.540181927491968,0.5084933020301063,32,6,5.333333333333333,0,0,0.7443055555555556 +moon_arcs_screen__noise0750__n7200__seed151__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,6.716612800009898,185.46875,3.265625,,,,,0.7777502521589067,0.7978631577345296,0.9519900053542745,7,6,1.1666666666666667,0,0,0.19361111111111112 +moon_arcs_screen__noise0750__n7200__seed151__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.02597099999547936,185.140625,2.86328125,,,,,0.9997226844148641,0.9994428969359331,0.9999073988332252,6,6,1.0,0,0,0.2501388888888889 +moon_arcs_screen__noise0750__n7200__seed151__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.10552810000081081,232.7265625,9.65625,,,,,0.5530855240366094,0.2814383370801956,0.1681012658227848,151,6,25.166666666666668,21,0,0.9270833333333334 +moon_arcs_screen__noise0750__n7200__seed151__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.10914040000352543,187.96484375,5.7734375,,,,,0.9966804956391906,0.04035058071997971,0.03529197744224122,31,6,5.166666666666667,0,0,0.9865277777777778 +moon_arcs_screen__noise0750__n7200__seed151__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,0.5200008000101661,241.125,29.0078125,,,,,0.7498859875154001,0.15392206580335246,0.0,23,6,3.8333333333333335,6,0,1.0 +moon_arcs_screen__noise0750__n7200__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0950__n36000__seed23__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,2.029228700004751,265.82421875,81.99609375,,,,,0.9963847090623602,0.992627300944569,0.9993564617094716,11,6,1.8333333333333333,0,0,0.050777777777777776 +moon_arcs_screen__noise0950__n36000__seed23__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,0.4643324000062421,197.51171875,13.046875,,,,,0.9624456480012183,0.6826180978774408,0.4721911994639267,2119,6,353.1666666666667,0,0,0.7063888888888888 +moon_arcs_screen__noise0950__n36000__seed23__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,11.331953000000794,189.17578125,4.84765625,,,,,0.9198173609753284,0.21690251759259968,0.5491876299155813,206,6,34.333333333333336,0,0,0.6403888888888889 +moon_arcs_screen__noise0950__n36000__seed23__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,46.7885479000106,189.10546875,4.43359375,,,,,0.6951612506678059,0.7087842241749911,0.989404839764552,10,6,1.6666666666666667,1,0,0.03875 +moon_arcs_screen__noise0950__n36000__seed23__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,0.1595377999910852,195.30859375,10.68359375,,,,,0.9821231640923936,0.8687427980402475,0.7290969899665551,1919,6,319.8333333333333,0,0,0.455 +moon_arcs_screen__noise0950__n36000__seed23__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,0.5766264999983832,277.98828125,54.05859375,,,,,0.5979426287147557,0.1313309141953289,0.17111728263191625,945,6,157.5,18,0,0.9097777777777778 +moon_arcs_screen__noise0950__n36000__seed23__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,0.7082520999974804,197.828125,13.51953125,,,,,0.9969559731795066,0.0009722834470943507,0.02352125292570867,69,6,11.5,0,0,0.9886944444444444 +moon_arcs_screen__noise0950__n36000__seed23__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,8.28780910000205,339.41015625,126.328125,,,,,0.9504932063968096,0.02477021164355509,0.0,36,6,6.0,0,0,1.0 +moon_arcs_screen__noise0950__n36000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0950__n36000__seed42__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,2.701952199990046,271.76953125,87.5703125,,,,,0.9688396510885359,0.9552987678531075,0.9992978966152766,12,6,2.0,1,0,0.050944444444444445 +moon_arcs_screen__noise0950__n36000__seed42__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,0.4593103999941377,197.51953125,13.234375,,,,,0.955811951681293,0.6725700875015932,0.4693192498769189,2113,6,352.1666666666667,0,0,0.7087222222222223 +moon_arcs_screen__noise0950__n36000__seed42__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,13.065552699990803,189.32421875,5.0546875,,,,,0.9131143455718215,0.25073900920354725,0.5675692655651191,217,6,36.166666666666664,0,0,0.6235833333333334 +moon_arcs_screen__noise0950__n36000__seed42__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,50.42111840000143,193.1015625,9.14453125,,,,,0.8855123121694981,0.8775544631286059,0.9928808455275044,10,6,1.6666666666666667,0,0,0.049805555555555554 +moon_arcs_screen__noise0950__n36000__seed42__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,0.19461910000245553,190.10546875,5.38671875,,,,,0.9804556774151382,0.8667280773516964,0.7271340045034147,1921,6,320.1666666666667,0,0,0.4573055555555556 +moon_arcs_screen__noise0950__n36000__seed42__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,0.6138579999969807,274.515625,50.82421875,,,,,0.5747833096263745,0.12026803983689666,0.16819130155673248,872,6,145.33333333333334,19,0,0.9115 +moon_arcs_screen__noise0950__n36000__seed42__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,1.1159053000010317,198.046875,13.33984375,,,,,0.9947566910067721,0.0010019574435721939,0.02294996676012371,77,6,12.833333333333334,0,0,0.9889722222222223 +moon_arcs_screen__noise0950__n36000__seed42__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,11.116866399999708,339.3125,126.5625,,,,,0.8820567247491583,0.0268303554314196,0.0,38,6,6.333333333333333,0,0,1.0 +moon_arcs_screen__noise0950__n36000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0950__n36000__seed73__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,2.9411338999925647,271.640625,87.046875,,,,,0.9930632682262314,0.9860287067141216,0.99928334284001,10,6,1.6666666666666667,0,0,0.05075 +moon_arcs_screen__noise0950__n36000__seed73__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,0.48399769999377895,197.33203125,12.96484375,,,,,0.973570457172737,0.7004510894604367,0.4639913767936943,2125,6,354.1666666666667,0,0,0.7130277777777778 +moon_arcs_screen__noise0950__n36000__seed73__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,13.312898599993787,189.6015625,5.08984375,,,,,0.9080598010507958,0.23414924469248657,0.5485103132161956,212,6,35.333333333333336,0,0,0.641 +moon_arcs_screen__noise0950__n36000__seed73__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,53.8609421000001,195.62890625,11.0625,,,,,0.7894203775587133,0.7923905918806876,0.9928549600547156,8,6,1.3333333333333333,1,0,0.04113888888888889 +moon_arcs_screen__noise0950__n36000__seed73__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,0.20740430000296328,193.05078125,8.59375,,,,,0.9788456744340118,0.8654528029125012,0.7288844288342533,1914,6,319.0,0,0,0.45525 +moon_arcs_screen__noise0950__n36000__seed73__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,0.675655300001381,275.56640625,51.3515625,,,,,0.603036108949787,0.12940224775343837,0.17001256382154026,941,6,156.83333333333334,18,0,0.9108611111111111 +moon_arcs_screen__noise0950__n36000__seed73__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,0.9215111000085017,198.0625,13.27734375,,,,,0.995858596704804,0.0009851210551969512,0.023292778082825184,78,6,13.0,0,0,0.9888055555555556 +moon_arcs_screen__noise0950__n36000__seed73__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,5.676422999997158,338.65234375,126.37109375,,,,,0.8720249480228404,0.026406161202107373,0.0,37,6,6.166666666666667,0,0,1.0 +moon_arcs_screen__noise0950__n36000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0950__n36000__seed151__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,2.4781292999978177,262.7578125,78.1328125,,,,,0.9469878802326915,0.9261789741420905,0.9996929240937606,10,6,1.6666666666666667,2,0,0.05036111111111111 +moon_arcs_screen__noise0950__n36000__seed151__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,0.5524011999950744,197.0859375,12.9453125,,,,,0.9535689304828706,0.6767061935842419,0.4679821712545076,2149,6,358.1666666666667,0,0,0.7098055555555556 +moon_arcs_screen__noise0950__n36000__seed151__hdbscan,ok,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,13.81977449999249,189.296875,4.8203125,,,,,0.8906375926385124,0.24342686406767103,0.575979014427581,206,6,34.333333333333336,0,0,0.61575 +moon_arcs_screen__noise0950__n36000__seed151__optics,ok,OPTICS,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,48.59012380000786,192.8515625,8.6171875,,,,,0.7771596147014832,0.796817869953015,0.9921516190919133,7,6,1.1666666666666667,0,0,0.03877777777777778 +moon_arcs_screen__noise0950__n36000__seed151__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,0.23400699999183416,192.93359375,8.765625,,,,,0.9850718806037889,0.8730649250789604,0.7276549042950947,1908,6,318.0,0,0,0.45669444444444446 +moon_arcs_screen__noise0950__n36000__seed151__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,0.6424516000115545,276.5625,52.69921875,,,,,0.5070047502488534,0.10403095810729847,0.17075517075517074,923,6,153.83333333333334,22,0,0.9105 +moon_arcs_screen__noise0950__n36000__seed151__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,0.8139822999946773,197.7265625,13.16015625,,,,,0.996684153454929,0.0009859683224389452,0.02443462438263582,79,6,13.166666666666666,0,0,0.98825 +moon_arcs_screen__noise0950__n36000__seed151__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,5.746851500007324,339.37109375,127.06640625,,,,,0.9323190594731772,0.02546096312077419,0.0,36,6,6.0,0,0,1.0 +moon_arcs_screen__noise0950__n36000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed23__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,14.86945630000264,408.86328125,222.86328125,,,,,0.9849853319317631,0.9694223093217287,0.999609836608554,20,6,3.3333333333333335,0,0,0.010772222222222223 +moon_arcs_screen__noise0990__n180000__seed23__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,4.3217239000077825,237.73828125,51.71484375,,,,,0.9507880740640635,0.3248266022244164,0.4673406812679273,11078,6,1846.3333333333333,0,0,0.6981277777777778 +moon_arcs_screen__noise0990__n180000__seed23__hdbscan,timeout,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,,,,,,,240,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed23__optics,timeout,OPTICS,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,,,,,,,240,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed23__knn_dbscan,ok,kNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,1.8684785999939777,220.734375,34.328125,,,,,0.9574081824267634,0.551616557410537,0.6862088795175394,10626,6,1771.0,0,0,0.4829111111111111 +moon_arcs_screen__noise0990__n180000__seed23__snn_dbscan,ok,SNN-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,4.86435899999924,356.75,129.8125,,,,,0.5951654329178327,0.03356156549587207,0.17590773261287815,4718,6,786.3333333333334,18,0,0.9042666666666667 +moon_arcs_screen__noise0990__n180000__seed23__vdbscan_2007,ok,VDBSCAN-2007,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,6.969887800005381,255.76953125,69.953125,,,,,0.9862391394930953,3.530716639258187e-05,0.02141786487536779,329,6,54.833333333333336,0,0,0.9892777777777778 +moon_arcs_screen__noise0990__n180000__seed23__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,94.25616279999667,841.1640625,624.265625,,,,,0.1707985062336991,0.0016994201159866544,0.0,55,6,9.166666666666666,0,1,1.0 +moon_arcs_screen__noise0990__n180000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,23,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed42__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,42,0.99,180000,12.372069300006842,413.46484375,227.890625,,,,,0.9855135042251907,0.9707213754724033,0.9997530268246546,12,6,2.0,0,0,0.010477777777777779 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n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed73__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,14.932534100007615,506.03125,320.21484375,,,,,0.9857706863650367,0.9712855366524036,0.9997305671561363,14,6,2.3333333333333335,0,0,0.010533333333333334 +moon_arcs_screen__noise0990__n180000__seed73__dbscan,ok,DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,4.579625500002294,237.78125,52.2734375,,,,,0.9536225378880564,0.32322344216750687,0.46685278947617465,11142,6,1857.0,0,0,0.6985388888888889 +moon_arcs_screen__noise0990__n180000__seed73__hdbscan,timeout,HDBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,,,,,,,240,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed73__optics,timeout,OPTICS,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,,,,,,,240,,,,,,,,, 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+moon_arcs_screen__noise0990__n180000__seed73__knnplusleiden,ok,kNN+Leiden,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,187.5561663999979,841.83203125,626.1328125,,,,,0.15626450861140764,0.0017808672025823964,0.0,58,6,9.666666666666666,0,2,1.0 +moon_arcs_screen__noise0990__n180000__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,moon_arcs_screen,moon_arcs,1.0,73,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +moon_arcs_screen__noise0990__n180000__seed151__stratascan,ok,StrataSCAN,moon_arcs_screen,moon_arcs,1.0,151,0.99,180000,44.20476140000392,617.98046875,431.90234375,,,,,0.9838899248270682,0.9675557800761172,0.9997446037007204,12,6,2.0,0,0,0.010505555555555556 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n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0750__n7200__seed23__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,23,0.75,7200,1.3195312000025297,224.9609375,42.74609375,,,,,0.8802189099711079,0.8455544301520579,0.9988897113249444,10,6,1.6666666666666667,4,0,0.24888888888888888 +rings_screen__noise0750__n7200__seed23__dbscan,ok,DBSCAN,rings_screen,rings,1.0,23,0.75,7200,0.1407626000000164,190.16796875,7.69140625,,,,,0.9779807666613687,0.914039214354254,0.49393390043229674,356,6,59.333333333333336,0,0,0.7540277777777777 +rings_screen__noise0750__n7200__seed23__hdbscan,ok,HDBSCAN,rings_screen,rings,1.0,23,0.75,7200,0.6653975000081118,185.49609375,3.609375,,,,,0.95143592008654,0.6823368324965768,0.5738808926449227,39,6,6.5,0,0,0.6981944444444445 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+rings_screen__noise0750__n7200__seed73__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,73,0.75,7200,1.7009838999947533,231.46875,49.24609375,,,,,0.5576809280083511,0.4658297751209792,0.9980560955290197,25,6,4.166666666666667,17,0,0.24958333333333332 +rings_screen__noise0750__n7200__seed73__dbscan,ok,DBSCAN,rings_screen,rings,1.0,73,0.75,7200,0.12875759998860303,187.13671875,5.16015625,,,,,0.9775120576616919,0.9042794495690307,0.4678677826642077,332,6,55.333333333333336,0,0,0.7709722222222222 +rings_screen__noise0750__n7200__seed73__hdbscan,ok,HDBSCAN,rings_screen,rings,1.0,73,0.75,7200,0.7172025999898324,185.296875,3.640625,,,,,0.9473115705031483,0.6482533174502036,0.5497515778165704,38,6,6.333333333333333,0,0,0.7156944444444444 +rings_screen__noise0750__n7200__seed73__optics,ok,OPTICS,rings_screen,rings,1.0,73,0.75,7200,14.273208999991766,185.53515625,3.1015625,,,,,0.769209926940397,0.7894280051642322,0.938746053225079,10,6,1.6666666666666667,0,0,0.21041666666666667 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+rings_screen__noise0750__n7200__seed73__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,rings_screen,rings,1.0,73,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0750__n7200__seed151__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,151,0.75,7200,1.5428423000121256,230.75,49.08984375,,,,,0.6384692257044954,0.5414529995480856,0.9969481180061038,20,6,3.3333333333333335,13,0,0.24819444444444444 +rings_screen__noise0750__n7200__seed151__dbscan,ok,DBSCAN,rings_screen,rings,1.0,151,0.75,7200,0.12791560000914615,189.3046875,7.58203125,,,,,0.9688540872810091,0.8919352940884013,0.48845346396081174,335,6,55.833333333333336,0,0,0.7576388888888889 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+rings_screen__noise0750__n7200__seed151__vdbscan_2007,ok,VDBSCAN-2007,rings_screen,rings,1.0,151,0.75,7200,0.18789560000004712,189.3828125,7.3671875,,,,,0.996130452735844,0.041139948059095675,0.03636363636363636,38,6,6.333333333333333,0,0,0.9861111111111112 +rings_screen__noise0750__n7200__seed151__knnplusleiden,ok,kNN+Leiden,rings_screen,rings,1.0,151,0.75,7200,0.4801030999951763,240.23046875,28.54296875,,,,,0.8036715778771862,0.2147483427340695,0.0,21,6,3.5,4,0,1.0 +rings_screen__noise0750__n7200__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,rings_screen,rings,1.0,151,0.75,7200,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0950__n36000__seed23__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,23,0.95,36000,2.40156699999352,265.3203125,81.1640625,,,,,0.996404096784638,0.9926336329800773,0.9993563110773013,11,6,1.8333333333333333,0,0,0.051222222222222225 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benchmark.",,,,,,,,,,,, +rings_screen__noise0950__n36000__seed42__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,42,0.95,36000,3.1600261999992654,271.41015625,87.0546875,,,,,0.8734188437944462,0.834775718512302,0.999151575436646,17,6,2.8333333333333335,6,0,0.051055555555555555 +rings_screen__noise0950__n36000__seed42__dbscan,ok,DBSCAN,rings_screen,rings,1.0,42,0.95,36000,0.6628860999917379,196.6328125,12.33203125,,,,,0.956517562129644,0.6745332974050144,0.47082494969818917,2117,6,352.8333333333333,0,0,0.7075 +rings_screen__noise0950__n36000__seed42__hdbscan,ok,HDBSCAN,rings_screen,rings,1.0,42,0.95,36000,13.528271199989831,191.8515625,7.51171875,,,,,0.9069739690265489,0.24868782746554205,0.5674492638280939,214,6,35.666666666666664,0,0,0.6236944444444444 +rings_screen__noise0950__n36000__seed42__optics,ok,OPTICS,rings_screen,rings,1.0,42,0.95,36000,52.22118469999987,189.42578125,5.23046875,,,,,0.8635901744117725,0.879697220745928,0.9925445136391545,10,6,1.6666666666666667,0,0,0.049833333333333334 +rings_screen__noise0950__n36000__seed42__knn_dbscan,ok,kNN-DBSCAN,rings_screen,rings,1.0,42,0.95,36000,0.16948039999988396,195.51171875,11.11328125,,,,,0.9783759296383795,0.8633716733240291,0.727512883001879,1918,6,319.6666666666667,0,0,0.4568611111111111 +rings_screen__noise0950__n36000__seed42__snn_dbscan,ok,SNN-DBSCAN,rings_screen,rings,1.0,42,0.95,36000,0.6930090999958338,275.08984375,51.41015625,,,,,0.7773114467138549,0.23111695047108655,0.16866502515790602,864,6,144.0,9,0,0.9121111111111111 +rings_screen__noise0950__n36000__seed42__vdbscan_2007,ok,VDBSCAN-2007,rings_screen,rings,1.0,42,0.95,36000,0.913222000002861,197.77734375,13.25,,,,,0.9928365081839369,0.0010037889489159363,0.023064250411861616,80,6,13.333333333333334,0,0,0.9889166666666667 +rings_screen__noise0950__n36000__seed42__knnplusleiden,ok,kNN+Leiden,rings_screen,rings,1.0,42,0.95,36000,8.385209800006123,338.49609375,126.23046875,,,,,0.836180756611855,0.025248350506777838,0.0,36,6,6.0,0,0,1.0 +rings_screen__noise0950__n36000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,rings_screen,rings,1.0,42,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0950__n36000__seed73__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,73,0.95,36000,2.9379870999982813,271.12890625,87.0234375,,,,,0.961628534664969,0.947829083390765,0.9992247268259147,11,6,1.8333333333333333,1,0,0.051027777777777776 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benchmark.",,,,,,,,,,,, +rings_screen__noise0950__n36000__seed151__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,151,0.95,36000,2.109339500006172,263.1953125,78.93359375,,,,,0.996130452735844,0.9922127339498252,0.999722145040289,7,6,1.1666666666666667,0,0,0.050527777777777776 +rings_screen__noise0950__n36000__seed151__dbscan,ok,DBSCAN,rings_screen,rings,1.0,151,0.95,36000,0.5788926999957766,197.0703125,12.73046875,,,,,0.9525451501889131,0.6760168514345576,0.46901090046332566,2150,6,358.3333333333333,0,0,0.7089722222222222 +rings_screen__noise0950__n36000__seed151__hdbscan,ok,HDBSCAN,rings_screen,rings,1.0,151,0.95,36000,14.486937900001067,189.296875,4.83203125,,,,,0.8892826149640284,0.24310260718738141,0.5736033199174191,208,6,34.666666666666664,0,0,0.6179722222222223 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+rings_screen__noise0990__n180000__seed23__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,23,0.99,180000,15.528081700002076,412.125,226.16015625,,,,,0.967518291320284,0.9345502281677814,0.999455371330073,18,6,3.0,0,0,0.011077777777777778 +rings_screen__noise0990__n180000__seed23__dbscan,ok,DBSCAN,rings_screen,rings,1.0,23,0.99,180000,4.832252599997446,236.9140625,51.14453125,,,,,0.9367824218733815,0.3243297967605588,0.47102279308614003,11098,6,1849.6666666666667,0,0,0.6950166666666666 +rings_screen__noise0990__n180000__seed23__hdbscan,timeout,HDBSCAN,rings_screen,rings,1.0,23,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed23__optics,timeout,OPTICS,rings_screen,rings,1.0,23,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed23__knn_dbscan,ok,kNN-DBSCAN,rings_screen,rings,1.0,23,0.99,180000,2.312885699997423,220.546875,34.40234375,,,,,0.9165570488523033,0.5179277150535398,0.6863057324840764,10619,6,1769.8333333333333,1,0,0.4828 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replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0990__n180000__seed42__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,42,0.99,180000,14.240180700013298,417.5625,231.5078125,,,,,0.9673135696171794,0.9340879625531737,0.999559289586041,12,6,2.0,0,0,0.010872222222222222 +rings_screen__noise0990__n180000__seed42__dbscan,ok,DBSCAN,rings_screen,rings,1.0,42,0.99,180000,5.042906900009257,237.04296875,51.59375,,,,,0.911953113153947,0.32745631786261437,0.47394270005951794,11401,6,1900.1666666666667,0,0,0.6925388888888889 +rings_screen__noise0990__n180000__seed42__hdbscan,timeout,HDBSCAN,rings_screen,rings,1.0,42,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed42__optics,timeout,OPTICS,rings_screen,rings,1.0,42,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed42__knn_dbscan,ok,kNN-DBSCAN,rings_screen,rings,1.0,42,0.99,180000,2.385040699999081,220.125,34.37109375,,,,,0.9467652830936051,0.5448427224723834,0.6859036993064492,10667,6,1777.8333333333333,0,0,0.4832611111111111 +rings_screen__noise0990__n180000__seed42__snn_dbscan,ok,SNN-DBSCAN,rings_screen,rings,1.0,42,0.99,180000,6.851109399998677,360.39453125,133.2578125,,,,,0.787023041218213,0.06252824948459199,0.17585252135461718,4720,6,786.6666666666666,9,0,0.9044944444444445 +rings_screen__noise0990__n180000__seed42__vdbscan_2007,ok,VDBSCAN-2007,rings_screen,rings,1.0,42,0.99,180000,12.699032499993336,254.1171875,68.46875,,,,,0.9797212444699106,3.540382441186017e-05,0.022559436291508306,366,6,61.0,0,0,0.9886944444444444 +rings_screen__noise0990__n180000__seed42__knnplusleiden,ok,kNN+Leiden,rings_screen,rings,1.0,42,0.99,180000,86.57584100001259,840.28125,624.51171875,,,,,0.2701658992398154,0.0016539484830142472,0.0,54,6,9.0,0,1,1.0 +rings_screen__noise0990__n180000__seed42__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,rings_screen,rings,1.0,42,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +rings_screen__noise0990__n180000__seed73__stratascan,ok,StrataSCAN,rings_screen,rings,1.0,73,0.99,180000,19.878078099995037,508.171875,322.31640625,,,,,0.9725010881495811,0.9445750991610797,0.9995901800400838,14,6,2.3333333333333335,0,0,0.010811111111111112 +rings_screen__noise0990__n180000__seed73__dbscan,ok,DBSCAN,rings_screen,rings,1.0,73,0.99,180000,6.428586900001392,237.19140625,51.55078125,,,,,0.9327658679605856,0.32266593284447825,0.47087847259465837,11192,6,1865.3333333333333,0,0,0.6951388888888889 +rings_screen__noise0990__n180000__seed73__hdbscan,timeout,HDBSCAN,rings_screen,rings,1.0,73,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed73__optics,timeout,OPTICS,rings_screen,rings,1.0,73,0.99,180000,,,,,,,240,,,,,,,,, +rings_screen__noise0990__n180000__seed73__knn_dbscan,ok,kNN-DBSCAN,rings_screen,rings,1.0,73,0.99,180000,3.2753427999996347,219.79296875,34.14453125,,,,,0.9488364378660913,0.5438747895542086,0.6865720045255038,10609,6,1768.1666666666667,0,0,0.48249444444444445 +rings_screen__noise0990__n180000__seed73__snn_dbscan,ok,SNN-DBSCAN,rings_screen,rings,1.0,73,0.99,180000,6.5896225000033155,359.13671875,132.42578125,,,,,0.7319175393651624,0.05554194410239578,0.17537536922612254,4739,6,789.8333333333334,14,0,0.9047722222222222 +rings_screen__noise0990__n180000__seed73__vdbscan_2007,ok,VDBSCAN-2007,rings_screen,rings,1.0,73,0.99,180000,10.023553499995614,254.1328125,68.19921875,,,,,0.9785453487309188,3.5133891826973304e-05,0.023348936264613884,366,6,61.0,0,0,0.9882888888888889 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+rings_screen__noise0990__n180000__seed151__vdbscan_2007,ok,VDBSCAN-2007,rings_screen,rings,1.0,151,0.99,180000,13.25833729999431,254.1328125,68.76171875,,,,,0.9766010120324715,3.481164618634304e-05,0.02202168869945501,360,6,60.0,0,0,0.9889666666666667 +rings_screen__noise0990__n180000__seed151__knnplusleiden,ok,kNN+Leiden,rings_screen,rings,1.0,151,0.99,180000,170.2930548000004,832.390625,616.61328125,,,,,0.15167593243456576,0.0017905069953963874,0.0,59,6,9.833333333333334,0,2,1.0 +rings_screen__noise0990__n180000__seed151__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,rings_screen,rings,1.0,151,0.99,180000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_density_r16__noise0950__n36000__seed23__stratascan,ok,StrataSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,7.328399300007732,269.84375,85.86328125,,,,,0.9927758980652497,0.9856207741631009,0.9996198830409356,6,6,1.0,0,0,0.05 +gaussian_density_r16__noise0950__n36000__seed23__dbscan,ok,DBSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,1.0559356000012485,198.03125,13.65625,,,,,0.9697651425185295,0.6882572972281723,0.46257585974376264,2129,6,354.8333333333333,0,0,0.7141666666666666 +gaussian_density_r16__noise0950__n36000__seed23__hdbscan,ok,HDBSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,22.949693499991554,189.6640625,5.26953125,,,,,0.9263452519371205,0.25558152632793646,0.5616351936745595,222,6,37.0,0,0,0.6290555555555556 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+gaussian_density_r16__noise0950__n36000__seed23__vdbscan_2007,ok,VDBSCAN-2007,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,1.7597396000055596,198.05859375,13.7109375,,,,,0.995856781336558,0.0009694531865267607,0.02203522165350915,67,6,11.166666666666666,0,0,0.9894166666666667 +gaussian_density_r16__noise0950__n36000__seed23__knnplusleiden,ok,kNN+Leiden,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,7.713921100003063,338.125,125.4921875,,,,,0.9396300361688992,0.025557973004854018,0.0,37,6,6.166666666666667,0,0,1.0 +gaussian_density_r16__noise0950__n36000__seed23__amd_dbscan,skipped_resource_limit,AMD-DBSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.95,36000,,,,"AMD-DBSCAN's compatibility path is O(n^2) and is explicitly skipped for every cell in this n=3,600 to 180,000 replicated benchmark.",,,,,,,,,,,, +gaussian_density_r16__noise0950__n36000__seed42__stratascan,ok,StrataSCAN,gaussian_density_r16,compact_gaussian,16.0,42,0.95,36000,5.046357300001546,270.71875,86.15625,,,,,0.9841947028915143,0.9679238006955847,0.9989464442493415,9,6,1.5,0,0,0.051666666666666666 +gaussian_density_r16__noise0950__n36000__seed42__dbscan,ok,DBSCAN,gaussian_density_r16,compact_gaussian,16.0,42,0.95,36000,0.761602500002482,198.484375,13.90234375,,,,,0.9659970408014861,0.6776835361431219,0.45855681254788844,2110,6,351.6666666666667,0,0,0.7173888888888889 +gaussian_density_r16__noise0950__n36000__seed42__hdbscan,ok,HDBSCAN,gaussian_density_r16,compact_gaussian,16.0,42,0.95,36000,19.569838700001128,190.546875,6.58984375,,,,,0.8861590347637356,0.2106566758047774,0.5542168674698795,193,6,32.166666666666664,0,0,0.6358333333333334 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+gaussian_density_r16__noise0950__n36000__seed73__stratascan,ok,StrataSCAN,gaussian_density_r16,compact_gaussian,16.0,73,0.95,36000,3.8005815999931656,263.6171875,79.51953125,,,,,0.9885821783767846,0.977377957093302,0.9994152046783625,7,6,1.1666666666666667,0,0,0.05 +gaussian_density_r16__noise0950__n36000__seed73__dbscan,ok,DBSCAN,gaussian_density_r16,compact_gaussian,16.0,73,0.95,36000,0.928980099997716,197.6015625,13.1328125,,,,,0.9557677515208098,0.6758105771512739,0.46901090046332566,2095,6,349.1666666666667,0,0,0.7089722222222222 +gaussian_density_r16__noise0950__n36000__seed73__hdbscan,ok,HDBSCAN,gaussian_density_r16,compact_gaussian,16.0,73,0.95,36000,22.093023800000083,189.375,4.578125,,,,,0.874111652782296,0.22648293298343922,0.5421062727795894,199,6,33.166666666666664,0,0,0.64675 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+gaussian_density_r16__noise0950__n36000__seed151__stratascan,ok,StrataSCAN,gaussian_density_r16,compact_gaussian,16.0,151,0.95,36000,4.578823600008036,264.90625,80.5859375,,,,,0.9862798350896069,0.9722837713588653,0.9986973639916279,13,6,2.1666666666666665,0,0,0.05213888888888889 +gaussian_density_r16__noise0950__n36000__seed151__dbscan,ok,DBSCAN,gaussian_density_r16,compact_gaussian,16.0,151,0.95,36000,0.8091614000004483,197.51953125,13.3515625,,,,,0.9624806150381087,0.671907595851701,0.4577574350071024,2113,6,352.1666666666667,0,0,0.7180277777777778 +gaussian_density_r16__noise0950__n36000__seed151__hdbscan,ok,HDBSCAN,gaussian_density_r16,compact_gaussian,16.0,151,0.95,36000,19.644216000000597,192.57421875,7.6328125,,,,,0.9587628961116046,0.2706112284050279,0.5585129923500032,222,6,37.0,0,0,0.6319166666666667 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+gaussian_density_r16__noise0990__n180000__seed23__stratascan,ok,StrataSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.99,180000,25.020450099997106,501.0078125,315.2421875,,,,,0.9714181760520774,0.9431146332012549,0.9995846033804304,14,6,2.3333333333333335,0,0,0.010633333333333333 +gaussian_density_r16__noise0990__n180000__seed23__dbscan,ok,DBSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.99,180000,7.460326900007203,238.2265625,52.26171875,,,,,0.9429741689159998,0.3301550845539318,0.4714359238291302,11265,6,1877.5,0,0,0.6946666666666667 +gaussian_density_r16__noise0990__n180000__seed23__hdbscan,timeout,HDBSCAN,gaussian_density_r16,compact_gaussian,16.0,23,0.99,180000,,,,,,,240,,,,,,,,, +gaussian_density_r16__noise0990__n180000__seed23__optics,timeout,OPTICS,gaussian_density_r16,compact_gaussian,16.0,23,0.99,180000,,,,,,,240,,,,,,,,, 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