The planar k-means problem is NP-hard

243Citations
Citations of this article
161Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In the k-means problem, we are given a finite set S of points in ℜm, 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]. © 2011 Elsevier B.V. All rights reserved.

Cite

CITATION STYLE

APA

Mahajan, M., Nimbhorkar, P., & Varadarajan, K. (2012). The planar k-means problem is NP-hard. In Theoretical Computer Science (Vol. 442, pp. 13–21). https://doi.org/10.1016/j.tcs.2010.05.034

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free