Approximation Schemes for Capacitated Clustering in Doubling Metrics

December 19, 2018 Β· Declared Dead Β· πŸ› ACM-SIAM Symposium on Discrete Algorithms

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Authors Vincent Cohen-Addad arXiv ID 1812.07721 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CG Citations 24 Venue ACM-SIAM Symposium on Discrete Algorithms Last Checked 3 months ago
Abstract
Motivated by applications in redistricting, we consider the uniform capacitated k-median and uniform capacitated k-means problems in bounded doubling metrics. We provide the first QPTAS for both problems and the first PTAS for the uniform capacitated k-median problem for points in R^2 . This is the first improvement over the bicriteria QPTAS for capacitated k-median in low-dimensional Euclidean space of Arora, Raghavan, Rao [STOC 1998] (1 + Ξ΅-approximation, 1 + Ξ΅-capacity violation) and arguably the first polynomial-time approximation algorithm for a non-trivial metric.
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