A Clustering Preserving Transformation for k-Means Algorithm Output

Mieczysław A. Kłopotek

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arXiv · 2202.10455

A Clustering Preserving Transformation for k-Means Algorithm Output

Mieczysław A. Kłopotek

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Abstract

This note introduces a novel clustering preserving transformation of cluster sets obtained from $k$-means algorithm. This transformation may be used to generate new labeled data{}sets from existent ones. It is more flexible that Kleinberg axiom based consistency transformation because data points in a cluster can be moved away and datapoints between clusters may come closer together.

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Mieczysław A. Kłopotek. 2022-02-19. A Clustering Preserving Transformation for k-Means Algorithm Output. https://arxiv.org/abs/2202.10455

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