Model-based clustering, classification, and density estimation using mclust in R

1. Aufl.

London

2023

242 S.

Monographie

978-1-032-23495-3

Includes bibliographical references and index

18637BU

40005908

Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The 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.