Multivariate Gaussian Mixture Model Optimization by Cross En

버전 1.3.0.0 (30 KB) 작성자: Sebastien PARIS
Stochastic multi-extremum optimization.
4.0
(4)
다운로드 수: 10K
업데이트 날짜: 2020/2/18

라이선스 보기

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

인용 양식

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. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019b
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help Center 및 MATLAB Answers에서 Thermal Analysis에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

버전 게시됨 릴리스 정보
1.3.0.0

Fixed for modern Matlab & OS64
1.2.0.0

-Correct a problem with LCC compiler for dirirnd.c
-sample_mvgm.c compatible with GCC compiler
1.1.0.0

-Add mexme_ce_gauss.m to compile mex-files
1.0.0.0

v1.4 - Update randnt.c with a new uniform generator
- Improve help sections
- Change some fuction' names