Model-based Clustering and Spatial Point Processes
Working Group: Summer 1996: July 1-17, 1996
Mondays and Wednesdays from 9:00am to 12:00 noon in room C-301, Padelford Hall,
University of Washington Campus. (Unless otherwise specified, speakers
are from the University of Washington.)
- Monday, July 1
- Gilles Celeux, INRIA, Grenoble
Gaussian model-based clustering
-
- Christian Posse, U of Minnesota, and Halima Bensmail
Bayesian analysis of eigenvalue-based discriminant analysis
- Wednesday, July 3
- Fionn Murtagh, European Space Agency and U of Ulster
The multiresolution transform approach
-
- Chris Fraley, StatSci
Computational aspects of model-based clustering
- Monday, July 8
- Derek Stanford
(1) Principal curve clustering
(2) Mixture modeling and mathematical morphology (M^4) for
unsupervised feature detection in images
-
- Guido Consonni, U of Pavia, Hsi-Guang Sung, and
Halima Bensmail
Hierarchical parition models
- Wednesday, July 10
- Adrian Raftery and Abhijit Dasgupta
Model-based clustering for detecting features in spatial
point processes
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- Chris Fraley, StatSci, and Denis Allard, BP Research
Using Voronoi tesselations and mathematical morphology for
detecting features in spatial point processes
-
- Gilles Celeux, INRIA, Grenoble
(1) The EM algorithm for spatial data
(2) MCMC algorithms for relabelling in mixture models
- Monday, July 15
- Simon Byers
Feature detection in spatial point processes using
reversible jump MCMC
-
- Ingo Ruczinski and Charles Kooperberg
Clustering of aminoacid sequences
-
- Halima Bensmail
Estimation in model-based clustering using MCMC
- Wednesday, July 17
- David Madigan
Bayesian model averaging
-
- David Heckerman, Microsoft
Bayesian model selection for cluster analysis
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