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Quick k-Median, k-Center, and Facility Location for Sparse Graphs

Published: 01 February 2005 Publication History

Abstract

We present $\tilde{O}(m)$ time and space constant factor approximation algorithms for the k-median, k-center, and facility location problems with assignment costs being shortest path distances in a weighted undirected graph with n vertices and m edges. For all of these location problems, $\tilde{O}(n^2)$ time and space algorithms were already known, but here we are addressing large sparse graphs. An application could be placement of content distributing servers on the Internet. The Internet is large and changes so frequently that an $\tilde{O}(n^2)$ time solution would likely be outdated long before completion.

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  • (2023)Near-optimal quantum coreset construction algorithms for clusteringProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3620028(38881-38912)Online publication date: 23-Jul-2023
  • (2022)A survey on mining and analysis of uncertain graphsKnowledge and Information Systems10.1007/s10115-022-01681-w64:7(1653-1689)Online publication date: 1-Jul-2022
  • (2021)Coresets for clustering in excluded-minor graphs and beyondProceedings of the Thirty-Second Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3458064.3458223(2679-2696)Online publication date: 10-Jan-2021
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Published In

cover image SIAM Journal on Computing
SIAM Journal on Computing  Volume 34, Issue 2
2005
253 pages

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Society for Industrial and Applied Mathematics

United States

Publication History

Published: 01 February 2005

Author Tags

  1. k-center
  2. k-median
  3. efficient approximation algorithms
  4. facility location
  5. location problems
  6. shortest paths

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  • (2023)Near-optimal quantum coreset construction algorithms for clusteringProceedings of the 40th International Conference on Machine Learning10.5555/3618408.3620028(38881-38912)Online publication date: 23-Jul-2023
  • (2022)A survey on mining and analysis of uncertain graphsKnowledge and Information Systems10.1007/s10115-022-01681-w64:7(1653-1689)Online publication date: 1-Jul-2022
  • (2021)Coresets for clustering in excluded-minor graphs and beyondProceedings of the Thirty-Second Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3458064.3458223(2679-2696)Online publication date: 10-Jan-2021
  • (2021)Near-linear Time Approximation Schemes for Clustering in Doubling MetricsJournal of the ACM10.1145/347754168:6(1-34)Online publication date: 31-Oct-2021
  • (2021)Near-optimal clustering in the k-machine modelTheoretical Computer Science10.1016/j.tcs.2021.11.026899:C(80-97)Online publication date: 30-Dec-2021
  • (2020)Coresets for clustering in graphs of bounded treewidthProceedings of the 37th International Conference on Machine Learning10.5555/3524938.3524992(569-579)Online publication date: 13-Jul-2020
  • (2019)Time-Efficient Network Monitoring Through Confined Search and Adaptive EvaluationPRICAI 2019: Trends in Artificial Intelligence10.1007/978-3-030-29911-8_49(633-646)Online publication date: 26-Aug-2019
  • (2018)Near-Optimal Clustering in the k-machine modelProceedings of the 19th International Conference on Distributed Computing and Networking10.1145/3154273.3154317(1-10)Online publication date: 4-Jan-2018
  • (2018)An improved approximation algorithm for hierarchical clusteringPattern Recognition Letters10.1016/j.patrec.2018.01.015104:C(23-28)Online publication date: 1-Mar-2018
  • (2016)Approximation and fixed parameter subquadratic algorithms for radius and diameter in sparse graphsProceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete algorithms10.5555/2884435.2884463(377-391)Online publication date: 10-Jan-2016
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