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Information Theory Toolbox

version 1.0.0.0 (4.25 KB) by Mo Chen
Functions for Information theory, such as entropy, mutual information, KL divergence, etc

10.7K Downloads

Updated 07 Mar 2016

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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).

Cite As

Mo Chen (2021). Information Theory Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/35625-information-theory-toolbox), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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