Fast K-means clustering

Versione 1.7.0.0 (119 KB) da Sebastien PARIS
Fast mex K-means clustering algorithm with possibility of K-mean++ initialization.
4.0
(2)
4,2K download
Aggiornato 17 mag 2021

Visualizza la licenza

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"

Cita come

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

Compatibilità della release di MATLAB
Creato con R2009b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Statistics and Machine Learning Toolbox in Help Center e MATLAB Answers
Riconoscimenti

Ispirato: Sparsified K-Means, Ziheng_GMM.zip

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione Pubblicato Note della release
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