Why gmdistribution.fit gives me different values?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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.
0 commentaires
Réponses (1)
Adam
le 6 Mar 2015
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.
3 commentaires
Adam
le 6 Mar 2015
Please accept the answer if it resolves the problem so people can see the question is answered and does not need further attention.
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!