Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights.
Ameet Gadekar|Aristides Gionis|Suhas Thejaswi
| Anthology ID: | DBLP:conf/www/GadekarGT25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4458-4469 |
| URL: | https://doi.org/10.1145/3696410.3714857 |
| DOI: | https://doi.org/10.1145/3696410.3714857 |
| DBLP: | conf/www/GadekarGT25 |
| BibTeX: |
@inproceedings{gadekar-2025-fair,
author = {Ameet Gadekar and
Aristides Gionis and
Suhas Thejaswi},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4458--4469},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714857},
doi = {https://doi.org/10.1145/3696410.3714857}
}