Skip to main navigation Skip to search Skip to main content

A PTAS Framework for Clustering Problems in Doubling Metrics

  • Central South University
  • Xiangjiang Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Constrained clustering problems have been studied extensively in recent years. In this paper, we focus on a class of constrained k-median problems with general constraints on facilities, denoted as GCF k-CMedian problems. We present a randomized polynomial-time approximation scheme (PTAS) framework based on the split-tree decomposition and dynamic programming process for GCF k-CMedian problems, such as k-median with service installation costs, k-facility location and priority k-median problems in doubling metrics.

Original languageEnglish
Title of host publicationComputing and Combinatorics - 29th International Conference, COCOON 2023, Proceedings
EditorsWeili Wu, Guangmo Tong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages384-397
Number of pages14
ISBN (Print)9783031491894
DOIs
StatePublished - 2024
Event29th International Computing and Combinatorics Conference, COCOON 2023 - Hawaii, United States
Duration: Dec 15 2023Dec 17 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14422 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference29th International Computing and Combinatorics Conference, COCOON 2023
Country/TerritoryUnited States
CityHawaii
Period12/15/2312/17/23

Keywords

  • Approximation algorithm
  • k-median

Fingerprint

Dive into the research topics of 'A PTAS Framework for Clustering Problems in Doubling Metrics'. Together they form a unique fingerprint.

Cite this