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What is Deep Fair Clustering with Mutual Information about?

This document presents a novel approach to deep fair clustering through a mutual information theory framework, introducing an algorithm called FCMI. The method aims to achieve fair clustering by maximizing the conditional mutual information between inputs and cluster assignments while minimizing the mutual information between sensitive attributes and cluster assignments. Additionally, it proposes a new metric for evaluating clustering quality and fairness as a unified measure, validated through experiments

Author

arzhaozhengz

Language

EN