Why gmdistribution.fit gives me different values?

When I fit data to GMM using gmdistribution.fit I get different values of mean , Covariance and weight. How to make it give constant values. Thanks in advance.

Answer 1

[Adam]

From the help page (for fitgmdist in R2014b which has replaced gmdistribution.fit):

You can fit a GMM with defined initial values as in the example given:

Mu = [1 1; 2 2; 3 3];
Sigma(:,:,1) = [1 1; 1 2];
Sigma(:,:,2) = 2*[1 1; 1 2];
Sigma(:,:,3) = 3*[1 1; 1 2];
PComponents = [1/2,1/4,1/4];
S = struct('mu',Mu,'Sigma',Sigma,'ComponentProportion',PComponents);

GMModel3 = fitgmdist(X,3,'Start',S);

By default a k-means algorithm is used which includes a random element and is thus not deterministic.

[Hewitt]

Thank you. I understand it now.

[Adam]

Please accept the answer if it resolves the problem so people can see the question is answered and does not need further attention.

[zahra zaeri]

this problem was my question,tnx alot adam!