Multivariate Gaussian Mixture Model Optimization by Cross En
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Please visit http://iew3.technion.ac.il/CE/ for more informations
i) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run mex -setup before.
ii) Run the program demo test_ce_mvgm.m
引用
Sebastien PARIS (2024). Multivariate Gaussian Mixture Model Optimization by Cross En (https://www.mathworks.com/matlabcentral/fileexchange/7055-multivariate-gaussian-mixture-model-optimization-by-cross-en), MATLAB Central File Exchange. 取得済み .
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1.3.0.0 | Fixed for modern Matlab & OS64 |
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1.2.0.0 | -Correct a problem with LCC compiler for dirirnd.c
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1.1.0.0 | -Add mexme_ce_gauss.m to compile mex-files |
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1.0.0.0 | v1.4 - Update randnt.c with a new uniform generator
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