MCLUST: Software for Model-Based Clustering, Density Estimation and Discriminant Analysis

Download or read book MCLUST: Software for Model-Based Clustering, Density Estimation and Discriminant Analysis written by and published by . This book was released on 2002 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: MCLUST is a software package for model-based clustering, density estimation and discriminant analysis interfaced to the S-PLUS commercial software. It implements parameterized Gaussian hierarchical clustering algorithms and the EM algorithm for parameterized Gaussian mixture models with the possible addition of a Poisson noise term. Also included are functions that combine hierarchical clustering, EM and the Bayesian Information Criterion (BIC) in comprehensive strategies for clustering, density estimation, and discriminant analysis. MCLUST provides functionality for displaying and visualizing clustering and classification results. A web page with related links can be found at http;//www.stat.washington.edu/mclust.