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

Authors:
Chris Fraley;Adrian E. Raftery
Affiliations:
University of Washington, Seattle, USA;University of Washington, Seattle, USA
Venue:
Journal of Classification
Year:
2003

Citing 0
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Abstract

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