Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Omaha, Nebraska, USA
October 28-October 31
ISBN: 0-7695-3033-8
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to find hidden structures from networks are important to make sense of complex networked data. In this paper we present a new clustering method for networks. The proposed algorithm can find hierarchical structure of clusters without requiring any input parameters. The experiments using real data demonstrate an outstanding performance of the new method.
Citation:
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J. Schweiger, "A Divisive Hierarchical Structural Clustering Algorithm for Networks," icdmw, pp.441-448, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007