Clustering With R

This book explores cluster analysis using the R programming language, covering fundamental concepts to practical applications. With a step-by-step approach, it discusses clustering methods such as K-means, hierarchical clustering, and density-based models. It also explains how to choose the appropriate method, evaluate clustering results, and visualize data for interpretation. Suitable for beginners and data practitioners seeking to master effective data segmentation techniques, the book includes sample code and datasets to facilitate learning.