Fast K-means clustering
Fast mex K-means clustering algorithm with possibility of K-mean++ initialization.
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Cite As
Sebastien PARIS (2026). Fast K-means clustering (https://se.mathworks.com/matlabcentral/fileexchange/33541-fast-k-means-clustering), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Sparsified K-Means, Ziheng_GMM.zip
General Information
- Version 1.7.0 (119 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.7.0 | Fix mwIndex pointers for modern Matlab. Currently works flawless when compiled with Intel compiler and linked with MKL. |
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| 1.6.0 | - Fix compilation issue in mexme_yael_kmeans
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| 1.5.0 | - Fix a bug in ndellipse introduced in the last update |
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| 1.4.0 | -Correct a bug in mexme_yael_kmeans.m for Linux/Mac Os |
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| 1.3.0 | -Correct a bug in randperm |
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| 1.2.0 | - Minor changes
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| 1.1.0 | - Add online help, minor changes |
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| 1.0.0 |
