Practical — Guide To Cluster Analysis In R. Unsup...

– Introduces the R environment and essential packages. It covers data preparation and dissimilarity measures (distance metrics), which are foundational for defining how "similar" data points are.

: The book is designed so that you can jump into specific chapters without needing to read the entire guide sequentially. Practical Guide to Cluster Analysis in R. Unsup...

The book is organized into five distinct parts, each focusing on a critical phase of the clustering workflow: – Introduces the R environment and essential packages

– Explains tree-based representations known as dendrograms . It includes both agglomerative (bottom-up) and divisive (top-down) approaches, along with tools for visual comparison and customization using the dendextend package. Practical Guide to Cluster Analysis in R. Unsup...