function [post, a] = gmmpost(mix, x)%GMMPOST Computes the class posterior probabilities of a Gaussian mixture model.%%	Description%	This function computes the posteriors POST (i.e. the probability of%	each component conditioned on the data P(J|X)) for a Gaussian mixture%	model.   The data structure MIX defines the mixture model, while the%	matrix X contains the data vectors.  Each row of X represents a%	single vector.%%	See also%	GMM, GMMACTIV, GMMPROB%%	Copyright (c) Christopher M Bishop, Ian T Nabney (1996, 1997)% Check that inputs are consistenterrstring = consist(mix, 'gmm', x);if ~isempty(errstring)  error(errstring);endndata = size(x, 1);a = gmmactiv(mix, x);post = (ones(ndata, 1)*mix.priors).*a;s = sum(post, 2);% Set any zeros to one before dividings = s + (s==0);post = post./(s*ones(1, mix.ncentres));