On a Clustering Method Using Reducts of Information Tables

Abstract

In this paper, we propose a clustering method using reducts of information tables in rough set theory. In the proposed method, we perform a clustering by choosing attributes with low ratio of appearance in reducts. Experimental results indicate that the proposed method enables us to classify the data without introducing similarity or non-similarity measures and deciding the number of decision classes.