Hierarchical evolutionary multi-biclustering: Hierarchical structures of biclusters generation

Abstract

Biclustering is an important method of processing a big amount of data. In this paper, hierarchical structures of biclusters and their advantages are discussed. We propose the author’s method called HEMBI (Hierarchical Evolutionary Multi-Biclustering) which creates this kind of structures. The HEMBI uses an Evolutionary Algorithm to split a data space into a restricted number of regions. The important feature of the method is ability to choice the optimal number of biclusters, which is restricted only to a maximum value. The conducted experiments and their results are presented and discussed.