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Fast K-means clustering

version 1.7.0.0 (119 KB) by Sebastien PARIS
Fast mex K-means clustering algorithm with possibility of K-mean++ initialization.

4.1K Downloads

Updated 17 May 2021

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Fast mex K-means clustering algorithm with possibility of K-mean++ initialization
(mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael)
- Accept single/double precision input
- Support of BLAS/OpenMP for multi-core computation
Please run mexme_kmeans.m to compile mex-files (be sure that mex -setup have been done at least one)
Run demo "test_yael_kmeans.m"

Cite As

Sebastien PARIS (2021). Fast K-means clustering (https://www.mathworks.com/matlabcentral/fileexchange/33541-fast-k-means-clustering), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: Sparsified K-Means, Ziheng_GMM.zip

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