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

gaussmix
........\ClusterNormalize.m
........\EMIterate.m
........\EStep.m
........\example1
........\........\data
........\........\GMM.m
........\........\mkdata.m
........\........\rundemo.m
........\example2
........\........\GMM.m
........\........\mkdata.m
........\........\rundemo.m
........\........\TestingData
........\........\TrainingData1
........\........\TrainingData2
........\example3
........\........\GMM.m
........\........\mkdata.m
........\........\rundemo.m
........\GaussianMixture.asv
........\GaussianMixture.m
........\GMClassLikelihood.m
........\initMixture.m
........\MDLReduceOrder.m
........\MStep.m
........\SplitClasses.m
........\verify
........\......\data
........\......\verify.pdf

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