k-means++
version 1.7.0.0 (1.74 KB) by
Laurent S
Cluster multivariate data using the k-means++ algorithm.
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.
Cite As
Laurent S (2022).k-means++(//www.tianjin-qmedu.com/matlabcentral/fileexchange/28804-k-means), MATLAB Central File Exchange. Retrieved.
MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
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