Practical Guide To Principal Component Methods ... Apr 2026

The book categorizes methods based on the types of data you are analyzing:

: Hierarchical Clustering on Principal Components (HCPC), which combines dimensionality reduction with clustering techniques. Who Should Read It Practical Guide To Principal Component Methods ...

: It simplifies complex statistical concepts into digestible pieces, focusing on intuitive explanations rather than advanced theory. The book categorizes methods based on the types

: Simple Correspondence Analysis (CA) for two variables and Multiple Correspondence Analysis (MCA) for more than two. Practical Guide To Principal Component Methods ...

: Principal Component Analysis (PCA) for quantitative variables.