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 Name | Size |
---|---|
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 |