k-means++

Version 1.7.0.0 (1,74 ko) par Laurent S
Cluster multivariate data using the k-means++ algorithm.
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Mise à jour 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 (2024). k-means++ (https://www.mathworks.com/matlabcentral/fileexchange/28804-k-means), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2012b
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

Inspiré par : Kmeans Clustering

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

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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