Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
arXiv:2510.20220v3 Announce Type: replace
Abstract: Recent research has focused on mitigating algorithmic bias in clustering by incorporating fairness constraints into algorithmic design. Notions such as disparate impact, community cohesion, and cost …