A toolkit for Gaussian mixtures.
flexible tools for:
Generating univariate, multivariate, or mixtures of gaussians
Interactive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or clusters and inspect the fit in real-time.
Also includes tools to subset the data using model-based (pseudo-)metrics.
simple example of clustering
% generate 4 clusters in 2 dimensions
[X idx theta] = mmvn_gen( 1000, [0 5; 5 0; 5 5; 0 0] );
% fit data
Opt = mmvn_fit( X, 4, theta );
% plot data
scatter( X(:,1), X(:,2), , idx, 'filled');
% represent fits using ellipses
ellipse( Opt.M, Opt.V);
See mmvn_tutorial (included) for a walk-through of major functionality
hello,any toolkit for gaussian mixture model based audio source separation
toolkit for gaussian mixture model in audio
Hello! I tried the example in the MMView.m, but the error happened as below:
>>mm = MModel(X, [1 2], 4 );
??? Error using ==> kmeans.kmeans
Too many input arguments.
Error in ==> MModel.kmeans_init at 30
[Ci,C] = kmeans(mm.x(:,mm.s), k,...
Error in ==> MModel.MModel at 90
mm = kmeans_init(mm,t);
Please solve the problem and tell me, thanks!
updated to use BSD licensing agreement
update inspired-by line and description