Working Group on Model-based Clustering
Summer Session: July 16-20, 2007

Monday-Friday (five days) from 9:00am to noon, in Room 120, Lloyd Institute, Trinity College Dublin, Ireland.

Working Group: Monday-Friday, July 16-20, 2007
Day (Chair)	Time	Speaker	Topic
Sunday	5:00 pm		Social Event
Monday	9:00-10:20	Raphael Gottardo University of British Columbia	Model based clustering for high throughput genomic experiments
	10:40-Noon	Nema Dean University of Glasgow	Variable Selection for Clustering
	2:00-4:00		Poster Session
Tuesday	9:00-10:20	Gilles Celeux Université Paris-Sud	Predictive Model-based clustering
	10:40-10:55	Marc Scott New York University	Career Sequence Models: adding complexity is a good thing
	11:00-11:15	Claire Gormley University College Dublin	Mixture of experts models
	11:20-11:35	Marijtje van Duijn University of Groningen	Model selection and goodness-of-fit of network models
	11:40-11:55	Ranjan Maitra Iowa State University	Model-based Clustering for Constrained Spherical Data with Applications to Time-Course Gene Expression Sequences and Document Clustering
	12:30		Working Group Lunch
	2:00-4:00		Special mclust session
Wednesday	9:00-10:20	Nial Friel University of Glasgow	Markov random fields and the k-nearest neighbours algorithm
	10:40-10:55	Chris Fraley University of Washington	The ensembleBMA Package for Probabilistic Weather Forecasting
	11:00-11:15	Paul McNicholas Trinity College Dublin	Computational Aspects of Parsimonious Gaussian Mixture Models
	11:20-11:35	Luca Scrucca Università degli Studi di Perugia	Dimension reduction and visualization for model-based clustering
	11:40-11:55	Naisiyn Wang Texas A&M University	Some Applications of Model Based Mixture Modeling in Genomic Research
	12:00-12:15	Florence Forbes INRIA Rhone-Alpes	LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans
Thursday	9:00-10:20	Christian Hennig University College London	The noise component in model-based clustering - some results and experiments
	10:40-10:55	Deirdre Toher Trinity College Dublin	One-sided Classification
	11:00-11:15	Rebecca Nugent Carnegie Mellon University	Visualization of Clusters Using a Minimum Distance Similarity Measure
	11:20-11:35	Alejandro Murua Université de Montréal	Consensus MBC: Clustering with multiple imputations
	11:40-11:55	Ahmed Shihab Kingston University	Applying Complex Geometry Concepts to Two-Dimensional Data Clustering - Initial Investigations
	6:30 PM		Working Group Dinner
Friday	9:00-10:20	Vaclav Smidl UTIA	Probabilistic mixtures of autoregressive models and their use in control
	10:40-Noon	Fionn Murtagh Royal Holloway	Model-Based Clustering in Very High Dimensions
Saturday	ALL DAY		Working Group Hike