Hierarchical Clustering Algorithm Based on the Granular Space Theory

Abstract

Granular Computing (GrC) is a new concept and novel approach to solve the complex problems and provide a method for massive data-mining in the field of artificial intelligence. This paper applied granular space theory to hierarchical clustering method to generate a more efficient two-stage hierarchical clustering algorithm based on granular theory. This Method can reduce the time and memory complexities significantly and make validation very efficient and accurate. so it is very meaningful to the Hierarchical clustering algorithm.