Journal of Classification

, Volume 20, Issue 2, pp 263–286

Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST

  • Chris Fraley
  • Adrian E.  Raftery
SOFTWARE REVIEW

DOI: 10.1007/s00357-003-0015-3

Cite this article as:
Fraley, C. & Raftery, A. Journal of Classification (2003) 20: 263. doi:10.1007/s00357-003-0015-3

MCLUST is a software package for model-based clustering, density estimation and discriminant analysis interfaced to the S-PLUS commercial software and the R language. It implements parameterized Gaussian hierarchical clustering algorithms and the EM algorithm for parameterized Gaussian mixture models with the possible addition of a Poisson noise term. Also included are functions that combine hierarchical clustering, EM and the Bayesian Information Criterion (BIC) in comprehensive strategies for clustering, density estimation, and discriminant analysis. MCLUST provides functionality for displaying and visualizing clustering and classification results. A web page with related links can be found at http://www.stat.washington.edu/mclust.

Copyright information

© Springer Science + Business Media Inc. 2003

Authors and Affiliations

  • Chris Fraley
    • 1
  • Adrian E.  Raftery
    • 1
  1. 1.University of Washington, SeattleUSA