Package gov.nih.mipav.model.algorithms

Class AlgorithmGaussianMixtureModelEM

java.lang.Object
java.lang.Thread
gov.nih.mipav.model.algorithms.AlgorithmBase
gov.nih.mipav.model.algorithms.AlgorithmGaussianMixtureModelEM
All Implemented Interfaces:
ActionListener, WindowListener, Runnable, EventListener
public class AlgorithmGaussianMixtureModelEM extends AlgorithmBase
Copyright (c) 1995 The Board of Trustees of Purdue University. Permission to use, copy, modify, and distribute this software and its documentation for any purpose, without fee, and without written agreement is hereby granted, provided that the above copyright notice and the following two paragraphs appear in all copies of this software. In no event shall Purdue University be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of this software and its documentation, even if Purdue University has been advised of the possibility of such damage. Purdue University specifically disclaims any warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The software provided hereunder is on an "as is" basis, and Purdue Univeristy has no obligation to provide maintenance, support, updates, enhancements, or modifications. This is a port of cluster-3.6.7 developed by: Charles A. Bouman; School of ECE, Purdue University Michael Shapiro; NCSA Gregory W. Cook; School of ECE, Purdue University C. Brian Atkins; School of ECE, Purdue University Hui Cheng; School of ECE, Purdue University Jennifer G. Dy; School of ECE, Purdue University Sean Borman; Department of Electrical Engineering, University of Notre Dame This is software for doing unsupervised clustering. This is done by estimating the parameters of a Gaussian mixture model using the EM algorithm.