Practical Guide To Cluster Analysis in R - XSLiuLab.github.io
The by Alboukadel Kassambara is a popular hands-on resource designed to bridge the gap between complex theoretical machine learning and practical application. It is particularly noted for its focus on elegant visualization and interpretation using the R programming language. Core Content & Structure Practical Guide to Cluster Analysis in R. Unsup...
– Focuses on methods that divide data into a pre-specified number of groups. Key algorithms include: K-means : The most common partitioning method. K-Medoids (PAM) : More robust to outliers than K-means. CLARA : Designed specifically for clustering large datasets. Practical Guide To Cluster Analysis in R - XSLiuLab
