Second semester
Multivariate data analysis
Objectifs
Conduct a descriptive statistics study (detection of dependencies between variables, detection of atypical individuals, visualization, detection of homogeneous sub-populations).
Plan
Factor methods (principal component analysis, discriminant factor analysis, correspondence analysis and multiple correspondence analysis) and clustering (Kmeans, Kmedoids, hierarchical ascending classification, mixture models).
Prérequis
Linear algebra, descriptive statistics course