MCLUST: Multivariate Normal Mixture Modeling and Model-Based Clustering

Copyright © 1991-2008, University of Washington. All rights reserved.

Chris Fraley / Adrian Raftery
Department of Statistics, University of Washington

Sponsored by Office of Naval Research grants N00014-96-1-0192, N00014-96-1-0330, N00014-97-1-0736, N00014-01-1-0745,
and by National Institutes of Health grant 8 R01 EB002137-02.

MCLUST is an R package for normal mixture modeling via EM, model-based clustering, discriminant analysis and density estimation.

Use of MCLUST requires a license agreement for all users. Except for strict academic use,
licenses must be purchased through University of Washington Technology Tranfer.

MCLUST version 3 for R (2006+)

MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering
Technical Report no. 504, Department of Statistics, University of Washington, September 2006 (subsequent revisions).

Future announcements such as software releases will be communicated via this web site and
through the mailing lists associated with the R language.

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CRAN packages with functions requiring MCLUST include: clustvarsel , fpc

Bioconductor packages with functions requiring MCLUST include spotSegmentation

MCLUST version 2 for R (2002): (ported from S-PLUS by Ron Wehrens)

The edatoolbox available in the MATLAB archive of StatLib, which accompanies the book
Exploratory Data Analysis with MATLAB by Wendy Martinez and Angel Martinez,
includes basic model-based clustering functionality.

Principal Curve Clustering and Pseudolikelihood Image Segmentation
papers, research code, and datasets (Derek Stanford and Adrian Raftery)

Last Modified: Monday, 18-May-09