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).
引用格式
Mo Chen (2024). Normalized Mutual Information (https://www.mathworks.com/matlabcentral/fileexchange/29047-normalized-mutual-information), MATLAB Central File Exchange. 检索时间: .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection >
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致谢
参考作品: Pattern Recognition and Machine Learning Toolbox
启发作品: Normalized Mutual Information (NMI) for Cluster Analysis, Information Theory Toolbox, CASE (Cluster & Analyse Sound Events)
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版本 | 已发布 | 发行说明 | |
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1.0.0.0 | minor tweak |