k-means++

版本 1.7.0.0 (1.7 KB) 作者: Laurent S
Cluster multivariate data using the k-means++ algorithm.
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更新时间 2013/2/11

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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.

引用格式

Laurent S (2024). k-means++ (https://www.mathworks.com/matlabcentral/fileexchange/28804-k-means), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2012b
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致谢

参考作品: Kmeans Clustering

启发作品: kmeans_varpar(X,k), Sparsified K-Means

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版本 已发布 发行说明
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