On Minimum Sum of Radii and Diameters Clustering

Author:

Behsaz Babak,Salavatipour Mohammad R.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,General Computer Science

Reference13 articles.

1. Behsaz, B.: Approximation Algorithms for Clustering Problems. PhD thesis, Department of Computing Science, University of Alberta (2012)

2. Capoyleas, V., Rote, G., Woeginger, G.: Geometric clusterings. J. Algorithms 12(2), 341–356 (1991)

3. Charikar, M., Panigrahy, R.: Clustering to minimize the sum of cluster diameters. In: Proceedings of the 33rd Annual ACM Symposium on Theory of Computing, pp. 1–10 (2001)

4. Charikar, Moses, Panigrahy, Rina: Clustering to minimize the sum of cluster diameters. J. Comput. Syst. Sci. 68(2), 417–441 (2004)

5. Doddi, S., Marathe, M.V., Ravi, S.S., Taylor, D.S., Widmayer, P.: Approximation algorithms for clustering to minimize the sum of diameters. Nordic J. Comput. 7(3), 185–203 (2000)

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