Distributionally Robust K-Means Clustering
arXiv:2604.11118v1 Announce Type: new
Abstract: K-means clustering is a workhorse of unsupervised learning, but it is notoriously brittle to outliers, distribution shifts, and limited sample sizes. Viewing k-means as Lloyd–Max quantization of the emp…