A Gibbs Posterior Framework for Fair Clustering

A Gibbs Posterior Framework for Fair Clustering

The rise of machine learning-driven decision-making has sparked a growing emphasis on algorithmic fairness. Within the realm of clustering, the notion of <i>balance</i> is utilized as a criterion for attaining <i>fairness</i>, which characterizes a clustering mechanism as fai...

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Bibliographic Details
Main Authors: Abhisek Chakraborty, Anirban Bhattacharya, Debdeep Pati
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
algorithmic fairness
balance
generalized Bayes
minimum cost flow
optimal transport
Online Access:https://www.mdpi.com/1099-4300/26/1/63

Internet

https://www.mdpi.com/1099-4300/26/1/63

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