I am training a Gaussian Mixture Model through gmdistribution.fit. However, as far as I am concerned my initial component parameters are random values. Well I would like to change this and instead of random values to initialize my component parameters through K-Means method. Any idea on how to solve this?
The code for training my model is :
options = statset('MaxIter',500,'Display','final');models(BrandId).gmm = gmdistribution.fit(data',3,'CovType',...'diagonal','Options',options);