Normalized Mutual Information

版本 1.0.0.0 (734 字节) 作者: Mo Chen
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
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更新时间 2016/3/7

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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 (2026). Normalized Mutual Information (https://ww2.mathworks.cn/matlabcentral/fileexchange/29047-normalized-mutual-information), MATLAB Central File Exchange. 检索时间: .

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创建方式 R2016a
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版本 已发布 发行说明
1.0.0.0

minor tweak