www.pudn.com > HMM1.zip > mixgauss_classifier_apply.m

function [classHatTest, probPos] = mixgauss_classifier_apply(mixgauss, testFeatures) 
 
Bpos = mixgauss_prob(testFeatures, mixgauss.pos.mu, mixgauss.pos.Sigma, mixgauss.pos.prior); 
Bneg = mixgauss_prob(testFeatures, mixgauss.neg.mu, mixgauss.neg.Sigma,  mixgauss.neg.prior); 
prior_pos = mixgauss.priorC(1); 
prior_neg = mixgauss.priorC(2); 
post = normalize([Bpos * prior_pos; Bneg * prior_neg], 1); 
probPos = post(1,:)'; 
[junk, classHatTest] = max(post); 
classHatTest(find(classHatTest==2))=0; 
classHatTest = classHatTest(:);