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  Socially Fair k-Means Clustering

Ghadiri, M., Samadi, S., & Vempala, S. (2021). Socially Fair k-Means Clustering. In FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 438-448). New York, NY: ACM. doi:10.1145/3442188.3445906.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-C4FE-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-C4FF-7
Genre: Conference Paper

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Locator:
https://doi.org/10.1145/3442188.3445906 (Publisher version)
Description:
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OA-Status:
Hybrid
Locator:
https://doi.org/10.48550/arXiv.2006.10085 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Ghadiri, Mehrdad1, Author
Samadi, Samira2, Author           
Vempala, Santosh1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Research Group Human Aspects of Machine Learning, Max Planck Institute for Intelligent Systems, Max Planck Society, Max-Planck-Ring 4, 72076 Tübingen, DE, ou_3369932              

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Free keywords: Forschungsgruppe Samadi
 Abstract: -

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Language(s): eng - English
 Dates: 2021-03-01
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: ghadiri-ACM-FAccT-2021
DOI: 10.1145/3442188.3445906
arXiv: 2006.10085
 Degree: -

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Title: ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021)
Place of Event: Virtual Event
Start-/End Date: 2021-03-03 - 2021-03-10

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Title: FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 438 - 448 Identifier: ISBN: 978-1-4503-8309-7
DOI: 10.1145/3442188