k-Clustering with Fair Outliers.
Matteo Almanza|Alessandro Epasto|Alessandro Panconesi|Giuseppe Re
| Anthology ID: | DBLP:conf/wsdm/AlmanzaEPR22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 5-15 |
| URL: | https://doi.org/10.1145/3488560.3498485 |
| DOI: | https://doi.org/10.1145/3488560.3498485 |
| DBLP: | conf/wsdm/AlmanzaEPR22 |
| BibTeX: |
@inproceedings{almanza-2022-kclustering,
author = {Matteo Almanza and
Alessandro Epasto and
Alessandro Panconesi and
Giuseppe Re},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{k-Clustering with Fair Outliers}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {5--15},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498485},
doi = {https://doi.org/10.1145/3488560.3498485}
}