MATLAB GMM by fitgmdist gives different values even after initializing using kmeans

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A. P. B. 2017-6-23

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https://ww2.mathworks.cn/matlabcentral/answers/345991-matlab-gmm-by-fitgmdist-gives-different-values-even-after-initializing-using-kmeans

评论： Catherine Davey 2023-5-7

So I am trying to compare two Gaussian Mixture Models with two distributions every time I run the program i get different values even after initializing using k-means. Am I missing something??

X = mat_cell;

[counts,binLocations] = imhist(X);

stem(binLocations, counts, 'MarkerSize', 1 );

xlim([-1 1]);

% inital kmeans step used to initialize EM

K = 2;               % number of mixtures/clusters
 cInd = kmeans(X(:), K,'MaxIter', 75536);
 % fit a GMM model
options = statset('MaxIter', 75536);  
gmm = fitgmdist(X(:),K,'Start',cInd,'CovarianceType','diagonal','Regularize',1e-5,'Options',options);

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SAFAA ALQAYSI 2017-9-13

Adem would you please let me know the way you did with GMM and the hierarchical clustering ????

Thanks

Catherine Davey 2023-5-7

K-means is not deterministic. Given that K-means will give a different result each time it is run, you cannot use it to ensure identical runs for the GMM algorithm.

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