Fast and effective algorithms for fair clustering at scale

ArXi:2605.13759v1 Announce Type: new Clustering is an unsupervised machine learning task that consists of identifying groups of similar objects. It has numerous applications and is increasingly used in fairness-sensitive domains where objects represent individuals, such as customers, employees, or students. We address a fair clustering problem in which objects belong to protected groups.