K-Means as the Zero-Temperature Limit of Normalized RBF Assignments: Rates, Trajectories, and Exact Recovery with Entmax

Felipe de Jesus Felix Arredondo, Alejandro Ucan-Puc, Manuel Alejandro Ucan Puc +2

K-Means is usually treated as a discrete procedure outside gradient-based learning, whereas normalized radial basis function (RBF) layers are smooth. We make precise the sense in w…