Bayes classification for 2D Gaussian distributions 1.0

It can be seen as a introduction to Bayesian classification, or Matlab plotting.function ret = drawBayesGauss2D(mu,c,prProb,ax)% Draw Bayes classification results for 2D Gaussian distributions.% mu: 2-by-N, mean vector for N classes.% c: 2-by-2-by-N, cov matrices.% prProb: 1-by-N, prior probabilities.% ax: [xmin xmax ymin ymax], plotting ranges.% ret: If a return value is required, it will be a 1-by-N cell array% containing N function_handles of N posterior probabilities.% You can use ret{i}(X,Y) to get post-prob of class i at (X,Y).

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Array,  Class,  Postprob,  Prior,  Probabilities,  Ranges,  Required,  Return
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