Evolutionary techniques for complex objects clustering

Abstract

The article presents the evolution technologies for clustering objects, specified by their characteristics values. The genetic algorithms and evolution strategies elements, underlying them, allow to solve clustering problems with minimal constraints on the initial data. The experiments results are given, which proof the effectiveness of the proposed methods.