k-Clustering with Fair Outliers-Reference-Cited by-同舟云学术

k-Clustering with Fair Outliers

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
language:
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Author:

Almanza Matteo¹,Epasto Alessandro²,Panconesi Alessandro¹,Re Giuseppe¹

Affiliation:

1. Sapienza University, Rome, Italy

2. Google Research, New York, NY, USA

Funder

MIUR PRIN

MIUR

Google

BiCi ? Bertinoro international Center for informatics

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498485

Reference66 articles.

1. Mohsen Abbasi , Aditya Bhaskara , and Suresh Venkatasubramanian . 2020. Fair clustering via equitable group representations. arXiv:2006.11009 ( 2020 ). Mohsen Abbasi, Aditya Bhaskara, and Suresh Venkatasubramanian. 2020. Fair clustering via equitable group representations. arXiv:2006.11009 (2020).

2. Ankit Aggarwal , Amit Deshpande , and Ravi Kannan . 2009. Adaptive sampling for k-means clustering . In APPROX. Springer , 15--28. Ankit Aggarwal, Amit Deshpande, and Ravi Kannan. 2009. Adaptive sampling for k-means clustering. In APPROX. Springer, 15--28.

3. Sara Ahmadian Alessandro Epasto Ravi Kumar and Mohammad Mahdian. 2019. Clustering without over-representation. In KDD. 267--275. Sara Ahmadian Alessandro Epasto Ravi Kumar and Mohammad Mahdian. 2019. Clustering without over-representation. In KDD. 267--275.

4. Sara Ahmadian Alessandro Epasto Ravi Kumar and Mohammad Mahdian. 2020. Fair Correlation clustering. In AISTATS . Sara Ahmadian Alessandro Epasto Ravi Kumar and Mohammad Mahdian. 2020. Fair Correlation clustering. In AISTATS .

5. Georg Anegg , Haris Angelidakis , Adam Kurpisz , and Rico Zenklusen . 2020. A Technique for Obtaining True Approximations for k-Center with Covering Constraints . In IPCO . Springer , 52--65. Georg Anegg, Haris Angelidakis, Adam Kurpisz, and Rico Zenklusen. 2020. A Technique for Obtaining True Approximations for k-Center with Covering Constraints. In IPCO . Springer, 52--65.

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