The Planar k-Means Problem is NP-Hard

Author:

Mahajan Meena,Nimbhorkar Prajakta,Varadarajan Kasturi

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Aloise, D., Deshpande, A., Hansen, P., Popat, P.: NP-Hardness of Euclidean Sum-of-Squares Clustering. Technical Report G-2008-33, Les Cahiers du GERAD (to appear in Machine Learning) (April 2008)

2. Lecture Notes in Computer Science;E. Allender,2005

3. Arthur, D., Vassilvitskii, S.: Worst-case and smoothed analysis of the ICP algorithm, with an application to the k-means method. In: Proc. IEEE Symp. Foundations of Computer Science (2006)

4. Arthur, D., Vassilvitskii, S.: How slow is the k-means method? In: Proc. Symp. on Comput. Geom. (2006)

5. Arthur, D., Vassilvitskii, S.: k-means++: The advantages of careful seeding. In: Proc. ACM-SIAM Symp. Discrete Algorithms (2007)

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