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
: The book heavily utilizes the author's own factoextra R package , which creates elegant, ggplot2 -based graphs to help interpret results. The by Alboukadel Kassambara is widely considered an
The by Alboukadel Kassambara is widely considered an excellent resource for those who want to apply multivariate analysis without getting bogged down in heavy mathematical proofs. Why It Is Highly Rated
: Those who need to analyze large multivariate datasets for research or business but prefer practical implementation over theoretical derivation.