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Enhanced model-based clustering, density estimation, and discriminant analysis software:
MCLUST.
(English) Zbl 1055.62071

Summary: 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 parametrized 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.

MSC:

62H30 Classification and discrimination; cluster analysis (statistical aspects)
62-04 Software, source code, etc. for problems pertaining to statistics
62G07 Density estimation
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