A Study on Pattern-Based Spectral Clustering Methods in DWN

Abstract

Pattern based spectral clustering methods in directed weighted network (DWN) have significant applications in many domains, including computer engineering, E-commerce and economics. In this paper, we compile several of the state of the art algorithms from the point of view of clustering quality over some existing benchmark datasets. Experimental results show that, it is necessary to propose a more common pattern based spectral clustering method in DWN.