Information Theory Toolbox

版本 1.0.0.0 (4.3 KB) 作者: Mo Chen
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
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更新时间 2016/3/7

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This toolbox contains functions for DISCRETE random variables to compute following quantities:
1)Entropy
2)Joint entropy
3)Conditional entropy
4)Relative entropy (KL divergence)
5)Mutual information
6)Normalized mutual information
7)Normalized variation information
This package 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). Information Theory Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/35625-information-theory-toolbox), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0.0

minor tweak, more demos