Fast K-means clustering

Version 1.7.0.0 (119 ko) par Sebastien PARIS
Fast mex K-means clustering algorithm with possibility of K-mean++ initialization.
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Mise à jour 17 mai 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"

Citation pour cette source

Sebastien PARIS (2024). Fast K-means clustering (https://www.mathworks.com/matlabcentral/fileexchange/33541-fast-k-means-clustering), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2009b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Remerciements

A inspiré : Sparsified K-Means, Ziheng_GMM.zip

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Version Publié le Notes de version
1.7.0.0

Fix mwIndex pointers for modern Matlab. Currently works flawless when compiled with Intel compiler and linked with MKL.
1.6.0.0

- Fix compilation issue in mexme_yael_kmeans
- Include both mexw32 & mexw64 files in two separate files (unzip them in local dir in case of problem)
1.5.0.0

- Fix a bug in ndellipse introduced in the last update
1.4.0.0

-Correct a bug in mexme_yael_kmeans.m for Linux/Mac Os
1.3.0.0

-Correct a bug in randperm
1.2.0.0

- Minor changes
- Add spiral clustering example in the test file
1.1.0.0

- Add online help, minor changes
1.0.0.0