Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
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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 (2026). Normalized Mutual Information (https://se.mathworks.com/matlabcentral/fileexchange/29047-normalized-mutual-information), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Pattern Recognition and Machine Learning Toolbox
Inspired: Normalized Mutual Information (NMI) for Cluster Analysis, Information Theory Toolbox, CASE (Cluster & Analyse Sound Events)
General Information
- Version 1.0.0.0 (734 Bytes)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | minor tweak |
