SY09 Data analysis & Data mining Project 0 : Introduction to R Unsupervised learning : Project 1 : Descriptive statistics, Principal Component Analysis Project 2 : Classical multidimensional scaling, Hierarchical clustering, K-Means Clustering Supervised learning : Project 3 : Euclidian distance classifier, multiple discriminant analysis, K-Nearest Neighbor, Bayesian decision theory Discriminant analysis (Quadratic, linear), Naive Bayes Classifier, Linear/Logistic regression, Decision trees