Is there a function for estimation of GMM model with fixed means? So far I have found only sklearn.mixture.GaussianMixture which however takes only initial means, but AFAIK can not fix the means. Is there any alternative?
As far as I know (by looking at the answers to this similar question) it is not possible to used fixed means for the GMM. You can only provide values for the initial guesses, but for fixed values you would have to change the code.
A question there was
So it's not possible to force, or restrict the parameters in certain ranges, instead of just initial guesses?
With the answer:
Not without changing the code. As this defeats the whole EM-approach in my opinion! (but i would not consider myself an expert there).