In this program
- Principal component analysis (PCA)
- Factor analysis (introduction)
- Cluster analysis: hierarchical
- K-means
- Discriminant analysis: LDA and QDA
- Canonical correlation analysis (introduction)
Dimension reduction and grouping
Canonical correlation analysis (introduction)
Multivariate statistics · STEM / applied
Topic
Canonical correlation analysis (introduction)
Undergraduate Multivariate statistics — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).