Mixture Modeling and Model-Based Clustering
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MCLUST Version 3 for R: Normal Mixture Modeling and
Model-Based Clustering
Chris Fraley and Adrian E. Raftery.
Technical Report no. 504, Department of Statistics,
University of Washington, September 2006 (revised January 2007).
mclust software (CRAN)
*** MCLUST license
*** MCLUST web page
Bayesian regularization for normal mixture estimation and
model-based clustering
Chris Fraley and Adrian E. Raftery.
Technical Report no. 486, Department of Statistics,
University of Washington, August 2005.
Journal of Classification 24:155-181 (2007).
Robust model-based segmentation of microarray images
Qunhua Li, Chris Fraley, Roger Bumgarner, Ka Yee Yeung,
and Adrian Raftery.
Technical Report no. 473, Department of Statistics, University of Washington, January 2005.
Bioinformatics 21:2875-2882 (2005).
Model-based region-of-interest selection
F. Forbes, N. Peyrard, C. Fraley, D. Georgian-Smith, D. Goldhaber
and A. Raftery.Technical Report no. 472, Department of Statistics, University of Washington, December 2004.
Journal of Computer Assisted Tomography 30:675-687 (2006).
Incremental model-based clustering for large datasets with small clusters
Chris Fraley, Adrian Raftery, and Ron Wehrens.
Technical Report no. 439, Department of Statistics, University of Washington, December 2003.
Journal of Computational and Graphical Statistics 14:1-18 (2005).
Model-based clustering for image segmentation and large datasets via sampling
Ron Wehrens, Lutgarde Buydens, Chris Fraley and Adrian Raftery.
Technical Report no. 424, Department of Statistics,
University of Washington, February 2003.
Journal of Classification 21:231-253 (2004).
MCLUST: Software for model-based clustering, discriminant analysis,
and density estimation
Chris Fraley and Adrian E. Raftery.
Technical Report no. 415, Department of Statistics,
University of Washington, October 2002.
shortened version:
Enhanced software for model-based clustering, discriminant analysis,
and density estimation: MCLUST
Journal of Classification 20:263-286 (2003).
Model-based clustering and data transformation for gene expression data
K. Y. Yeung, C. Fraley, A. Murua, A. E. Raftery and W. L. Ruzzo,
Technical Report no. 396, Department of Statistics, University of Washington, May 2001.
Bioinformatics 17:977-987 (2001).
Model-based clustering, discriminant analysis, and density estimation
Chris Fraley and Adrian E. Raftery.
Technical Report no. 380, Department of Statistics, University of Washington
, October 2000.
Journal of the American Statistical Association 97:611-631 (2002).
MCLUST: Software for Model-Based Clustering
and Discriminant Analysis
Chris Fraley and Adrian E. Raftery.
Technical Report no. 342, Department of Statistics,
University of Washington, November 1998.
shortened version:
MCLUST: Software for Model-Based Cluster Analysis,
Journal of Classification 16:297-306 (1999).
Model-Based Methods for Real-Time Textile Fault Detection
J. G. Campbell, C. Fraley, D. Stanford, F. Murtagh and A. E. Raftery.
International Journal of Imaging Systems and
Technology 10:339-346 (1999).
How many clusters? Which clustering method? - Answers via Model-Based Cluster
Analysis
Chris Fraley and Adrian E. Raftery.
Technical Report no. 329, Department of Statistics,
University of Washington, February 1998.
Computer Journal 41:578-588 (1998).
Three Types of Gamma Ray Bursts
S. Mukherjee, E. Feigelson, G. Babu, F. Murtagh,
C. Fraley and A. Raftery.
Technical Report, Department of Astronomy and Astrophysics,
Pennsylvania State University.
Astrophysical Journal 508:314-327 (1998).
Algorithms for Model-Based Gaussian Hierarchical Clustering
Chris Fraley.
Technical Report no. 311, Department of Statistics,
University of Washington, October 1996.
SIAM Journal on Scientific Computing 20:270-281 (1998).
Linear Flaw Detection in Woven Textiles using Model-Based Clustering
Jonathan G. Campbell, Chris Fraley, Fionn Murtagh and Adrian E. Raftery.
Technical Report no. 314, Department of Statistics,
University of Washington, July 1996.
Pattern Recognition Letters 18:1539-1548 (1997).