An LP-based k-means algorithm for balancing weighted point sets

S. Borgwardt, A. Brieden and P. Gritzmann

European Journal of Operational Research, 2017, vol. 263, issue 2, 349-355

Abstract: The classical k-means algorithm for partitioning n points in Rd into k clusters is one of the most popular and widely spread clustering methods. The need to respect prescribed lower bounds on the cluster sizes has been observed in many scientific and business applications.

Keywords: Linear programming; Data mining; Clustering; k-Means; Weight-balancing (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:263:y:2017:i:2:p:349-355

DOI: 10.1016/j.ejor.2017.04.054

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