Clustering based on the principle of finding centers and robust averaging functions of aggregation

Abstract

A new approach to robust clustering based on the search for cluster centers is proposed. It is based on minimizing the robust estimates of the averages and the sum of the functions of pseudo-distances to cluster centers. An algorithm of iterative reweighing type for finding cluster centres is proposed. Examples are given showing the stability of the method with respect to a large number of outliers.