Gaussian mixture modeling gui (gmm demo) in matlab

The following Matlab project contains the source code and Matlab examples used for gaussian mixture modeling gui (gmm demo). The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1].

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1348
patterns3.mat 13778
patternsBox.mat 15166
DEMO_GMM.fig 8702
DEMO_GMM.m 6472
HelpFile.txt 376
Verver_GMM_DoubCol.pdf 555282
PlayBlueIcon.tif 9544
StopBlueIcon.tif 9596
Thumbs.db 8192
CheckSplitting.m 11376
ColorsMatrix.mat 4619
CrossLineMixtGaussians.m 4258
EMSteps.m 5618
FastBinoInv.m 3653
InvDet.m 2976
PlotByMouse.m 2046
PropEMPdfEstim.m 4234
SplitWithDiscriminant.m 3392