Description: In statistics, a mixture model is a probabilistic model for density estimation using a mixture distribution. A mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for compositional data, i.e., data whose components are constrained to sum to a constant value (1, 100 , etc.).
File list (Check if you may need any files):
GMM-GMR-v2.0
............\data
............\....\data1.mat
............\....\data2_a.mat
............\....\data2_b.mat
............\....\data3_a.mat
............\....\data3_b.mat
............\demo1.m
............\demo2.m
............\demo3.m
............\EM.m
............\EM_init_kmeans.m
............\gaussPDF.m
............\GMR.m
............\plotGMM.m
license.txt
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