Normalized Mutual Information

Version 1.0.0.0 (734 Bytes) by Mo Chen
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
7K Downloads
Updated 7 Mar 2016

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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).

Cite As

Mo Chen (2024). Normalized Mutual Information (https://www.mathworks.com/matlabcentral/fileexchange/29047-normalized-mutual-information), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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nmi/

Version Published Release Notes
1.0.0.0

minor tweak