Model-Based Clustering, Classification, and Density Estimation Using mclust in R

Welcome

This is the website containing the 1st edition of “Model-Based Clustering, Classification, and Density Estimation Using mclust in R” by Luca Scrucca, Chris Fraley, T. Brendan Murphy, and Adrian E. Raftery, published by Chapman & Hall/CRC Press on 2023.

This book presents a systematic statistical approach to clustering, classification, and density estimation via Gaussian mixture modeling. This model-based framework allows the problems of choosing or developing an appropriate clustering or classification method to be understood within the context of statistical modeling. The mclust package for the statistical environment R is a widely adopted platform implementing these model-based strategies. The package includes both summary and visual functionality, complementing procedures for estimating and choosing models.

R scripts

R source code for all the chapters can be downloaded here  

Get the book

If you like the book and would like to get a physical copy of the book, you can order it from the publisher Chapman & Hall/CRC or on Amazon.