ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.12913
  4. Cited By
Fair Clustering for Data Summarization: Improved Approximation
  Algorithms and Complexity Insights

Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights

The Web Conference (WWW), 2024
16 October 2024
Ameet Gadekar
Aristides Gionis
Suhas Thejaswi
ArXiv (abs)PDFHTMLGithub

Papers citing "Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights"

1 / 1 papers shown
Diversity-aware clustering: Computational Complexity and Approximation Algorithms
Diversity-aware clustering: Computational Complexity and Approximation Algorithms
Suhas Thejaswi
Ameet Gadekar
Bruno Ordozgoiti
Aristides Gionis
363
3
0
10 Jan 2024
1
Page 1 of 1