A Sub-4 Approximation for Fair $k$-Means
Fairness in clustering has attracted sustained research interest, motivated by the need to ensure equitable representation of protected groups in machine learning applications. We study fair $k$-means clustering in Euclidean space, where the proportion of each protected group in every cluster must lie within specified...
Kang Cheng, Guan-Lin Mo, Shi-Hong Song et al.
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