k-means++

Cluster multivariate data using the k-means++ algorithm.

Version 1.7.0.0 (1,74 ko)
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(22)
11 fév. 2013

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An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.

Citation pour cette source

Laurent S (2026). k-means++ (https://fr.mathworks.com/matlabcentral/fileexchange/28804-k-means), MATLAB Central File Exchange. Extrait(e) le .

Remerciements

Inspiré par : Kmeans Clustering

A inspiré : kmeans_varpar(X,k), Sparsified K-Means

Catégories

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Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
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Version Publié le Notes de version
1.7.0.0

Fixed bug with 1D datasets (thanks Xiaobo Li).
1.6.0.0

Improved handling of overclustering (thanks Sid S) and added a screenshot.
1.5.0.0

Small bugfix.
1.4.0.0

Removed dependency on randi for R2008a or lower (thanks Cassie).
1.3.0.0

Even faster, even less code and also fixed a few small bugs.
1.0.0.0