R software will be used in this course. This course covers: Differences between multivariate analysis and univariate analysis Differences between dimension reduction and clustering Principle Component ...

Principal component analysis (PCA) is an important tool for dimension reduction in multivariate analysis. Regularized PCA methods, such as sparse PCA and functional PCA, have been developed to ...