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 .
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1.7.0.0 | Fixed bug with 1D datasets (thanks Xiaobo Li). |
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1.6.0.0 | Improved handling of overclustering (thanks Sid S) and added a screenshot. |
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1.5.0.0 | Small bugfix. |
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1.4.0.0 | Removed dependency on randi for R2008a or lower (thanks Cassie). |
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1.3.0.0 | Even faster, even less code and also fixed a few small bugs. |
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1.0.0.0 |