Normalized mutual information is often used for evaluating clustering results, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops.
This function is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).
인용 양식
Mo Chen (2024). Normalized Mutual Information (https://www.mathworks.com/matlabcentral/fileexchange/29047-normalized-mutual-information), MATLAB Central File Exchange. 검색 날짜: .
MATLAB 릴리스 호환 정보
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- AI and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection >
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도움
도움 받은 파일: Pattern Recognition and Machine Learning Toolbox
도움 준 파일: Normalized Mutual Information (NMI) for Cluster Analysis, Information Theory Toolbox, CASE (Cluster & Analyse Sound Events)
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버전 | 게시됨 | 릴리스 정보 | |
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1.0.0.0 | minor tweak |