Chris Fraley
Department of Statistics;
Box 354322;
University of Washington;
Seattle, WA 98195-4322 USA
fraley AT stat DOT washington DOT edu
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Links ...
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.
(to appear in Journal of Computational and Graphical Statistics).
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
(to appear in Journal of Classification).
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, 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).
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).
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).
On computing the largest fraction of missing information for the EM algorithm
and the worst linear function for data augmentation
Chris Fraley.
Technical Report no. 332, Department of Statistics,
University of Washington, April 1998.
Computational Statistics and Data Analysis
31:13-26 (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).
Nonparametric Maximum Likelihood Estimation of Features in Spatial Point
Processes
using Voronoi Tessellation
Denis Allard and Chris Fraley.
Technical Report no. 293R, Department of Statistics,
University of Washington, December 1996.
Journal of the American Statistical Association 92:1485-1493
(1997).
Large-Scale Estimation of Variance and Covariance Components
Chris Fraley and Patrick J. Burns.
SIAM Journal on Scientific Computing 16:192-209 (1995).