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ICDM
2007
IEEE

A Divisive Hierarchical Structural Clustering Algorithm for Networks

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A Divisive Hierarchical Structural Clustering Algorithm for Networks
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.
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J.
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDM
Authors Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J. Schweiger
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