Practical Guide To Principal Component Methods ... -

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

: It simplifies complex statistical concepts into digestible pieces, focusing on intuitive explanations rather than advanced theory.

: Specifically those looking to move beyond "old-school" base R graphics to more modern, publication-ready visualizations. Practical Guide To Principal Component Methods in R

: Principal Component Analysis (PCA) for quantitative variables.