k-means++

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

Versione 1.7.0.0 (1,74 KB)
14,3K download
(22)
11 feb 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.

Cita come

Laurent S (2026). k-means++ (https://it.mathworks.com/matlabcentral/fileexchange/28804-k-means), MATLAB Central File Exchange. Recuperato .

Riconoscimenti

Ispirato da: Kmeans Clustering

Ispirato: kmeans_varpar(X,k), Sparsified K-Means

Categorie

Scopri di più su Statistics and Machine Learning Toolbox in Help Center e MATLAB Answers

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
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Versione Pubblicato Note della release
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