Identification of association rules between clusters

Abstract

In this paper we introduce a novel procedure, based on (fuzzy) clustering comparison techniques, to identify association rules between clusters. The procedure we propose is largely based on the use of clustering comparison techniques that we generalized to the fuzzy context. The described methodology can be useful for exploratory data analysis; its complexity is linear to the number of the entities in the data set.