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What is Overview of Multivariate Analysis about?

This document outlines a course on multivariate data analysis. It discusses introducing multivariate analysis and its applications. It covers topics like matrix algebra, multivariate normal distribution, principal component analysis, factor analysis, cluster analysis, and discriminant analysis. The course workload involves 40% theory and 60% practice through a group project and weekly presentations. Students will use mainly R software and be provided R code. Examples of multivariate data and applications in

Author

G Nathan Jd

Language

EN