Introduction - If you have any usage issues, please Google them yourself
Mixed-Gaussian model for a given data, can automatically select the best cluster number and cluster centers, and in accordance with decision rules convergence, compute very fast, very convenient
Packet : 61549813gaussmix.rar filelist
gaussmix\ClusterNormalize.m
gaussmix\EMIterate.m
gaussmix\EStep.m
gaussmix\example1\data
gaussmix\example1\GMM.m
gaussmix\example1\mkdata.m
gaussmix\example1\rundemo.m
gaussmix\example1
gaussmix\example2\GMM.m
gaussmix\example2\mkdata.m
gaussmix\example2\rundemo.m
gaussmix\example2\TestingData
gaussmix\example2\TrainingData1
gaussmix\example2\TrainingData2
gaussmix\example2
gaussmix\example3\GMM.m
gaussmix\example3\mkdata.m
gaussmix\example3\rundemo.m
gaussmix\example3
gaussmix\GaussianMixture.asv
gaussmix\GaussianMixture.m
gaussmix\GMClassLikelihood.m
gaussmix\initMixture.m
gaussmix\MDLReduceOrder.m
gaussmix\MStep.m
gaussmix\SplitClasses.m
gaussmix\verify\data
gaussmix\verify\verify.pdf
gaussmix\verify
gaussmix