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.
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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
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