English

Approximation Schemes for Capacitated Clustering in Doubling Metrics

Data Structures and Algorithms 2019-11-07 v2 Computational Geometry

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 + {\epsilon}-approximation, 1 + {\epsilon}-capacity violation) and arguably the first polynomial-time approximation algorithm for a non-trivial metric.

Keywords

Cite

@article{arxiv.1812.07721,
  title  = {Approximation Schemes for Capacitated Clustering in Doubling Metrics},
  author = {Vincent Cohen-Addad},
  journal= {arXiv preprint arXiv:1812.07721},
  year   = {2019}
}
R2 v1 2026-06-23T06:47:13.283Z