Document: multimix-talk
Title: Mixture Model Clustering of Data Sets with Categorical and Continuous Variables
Author: Murray Jorgensen and Lynette Hunt
Abstract: We introduce a class of multivariate mixture models
 that includes latent class models and mixtures of multivariate
 normal distributions as special cases.  These models are fitted by
 maximum likelihood using the EM algorithm but the emphasis is less on
 parameter estimation than on the use of the estimated component
 distributions to cluster the data.  To demonstrate the potential for
 application of these methods we use the program to fit several
 models to a large medical dataset.
Section: Science/Data Analysis

Format: PDF
Files: /usr/share/doc/multimix/talk.pdf