Second semester

Multivariate data analysis

Objectives

Conduct a descriptive statistics study (detection of dependencies between variables, detection of atypical individuals, visualization, detection of homogeneous sub-populations).

Course outline

Factor methods (principal component analysis, discriminant factor analysis, correspondence analysis and multiple correspondence analysis) and clustering (Kmeans, Kmedoids, hierarchical ascending classification, mixture models).

Prerequisites

Linear algebra, descriptive statistics course