A central limit theorem for multivariate generalized trimmed k-means

Abstract

A central limit theorem for generalized trimmed k-means is obtained in a very general framework that covers the multivariate setting, general penalty functions and general k ≥ 1. Several applications, including the location estimator case (k = 1) for elliptical distributions and the construction of multivariate (not necessarily connected) tolerance zones, are also given.