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version (2.92 KB) by Stefan Philippo Pszczolkowski Parraguez
Implementation of K-means with Variance Partitioning initialization


Updated 09 Aug 2017

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Implementation of K-means with Variance Partitioning initialization. Variance Partitioning initialization is a deterministic way of initializing the data centroids, thus producing results that are repeatable and reproducible, without having to resort to tricks like seeding the pseudorandom number generator.

Cite As

Stefan Philippo Pszczolkowski Parraguez (2021). kmeans_varpar(X,k) (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: k-means++

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