Fair Clustering: A Causal Perspective

• Published in: arXiv.org
• Main Authors: Bayer, Fritz, Drago Plecko, Beerenwinkel, Niko, Kuipers, Jack
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.12.2023
• Subjects: Algorithms; Clustering; Unsupervised learning

Clustering algorithms may unintentionally propagate or intensify existing disparities, leading to unfair representations or biased decision-making. Current fair clustering methods rely on notions of fairness that do not capture any information on the underlying causal mechanisms. We show that optimi...