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 |
