📄 mdnpost.m
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function [post, a] = mdnpost(mixparams, t)%MDNPOST Computes the posterior probability for each MDN mixture component.%% Description% POST = MDNPOST(MIXPARAMS, T) computes the posterior probability% P(J|T) of each data vector in T under the Gaussian mixture model% represented by the corresponding entries in MIXPARAMS. Each row of T% represents a single vector.%% [POST, A] = MDNPOST(MIXPARAMS, T) also computes the activations A% (i.e. the probability P(T|J) of the data conditioned on each% component density) for a Gaussian mixture model.%% See also% MDNGRAD, MDNPROB%% Copyright (c) Ian T Nabney (1996-2001)% David J Evans (1998)[prob a] = mdnprob(mixparams, t);s = sum(prob, 2);% Set any zeros to one before dividings = s + (s==0);post = prob./(s*ones(1, mixparams.ncentres));
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