Bayes classification for 2D Gaussian distributions
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).
Citation pour cette source
Ke Yan (2024). Bayes classification for 2D Gaussian distributions (https://www.mathworks.com/matlabcentral/fileexchange/32031-bayes-classification-for-2d-gaussian-distributions), MATLAB Central File Exchange. Récupéré le .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Classification > Naive Bayes >
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Version | Publié le | Notes de version | |
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1.1.0.0 | change the intro picture |
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1.0.0.0 |