4.3 Article Proceedings Paper

The planar k-means problem is NP-hard

Journal

THEORETICAL COMPUTER SCIENCE
Volume 442, Issue -, Pages 13-21

Publisher

ELSEVIER
DOI: 10.1016/j.tcs.2010.05.034

Keywords

Clustering; k-means; Planar graphs; NP-hardness

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In the k-means problem, we are given a finite set S of points in R-m, and integer k >= 1, and we want to find k points (centers) so as to minimize the sum of the square of the Euclidean distance of each point in S to its nearest center. We show that this well-known problem is NP-hard even for instances in the plane, answering an open question posed by Dasgupta (2007) [7]. (C) 2010 Elsevier B.V. All rights reserved.

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