Concept reduction on interval formal concept analysis

Abstract

A concept clustering method on interval concept lattice is introduced in this paper. Based on the distance between two formal concepts defined, the clustering method is presented. Clustering can reduce the size of interval concept lattice to get better interval lattice structure which can be easier to understand. Experimental results show that the reduction algorithm has reasonable performance on the complexity.