Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network

Clustering is an important technique for mining the intrinsic community structures in networks. The density-based network clustering method is able to not only detect communities of arbitrary size and shape, but also identify hubs and outliers. However, it requires manual parameter specification to...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2013-08, Vol.25 (8), p.1876-1889
Hauptverfasser:	Huang, Jianbin, Sun, Heli, Song, Qinbao, Deng, Hongbo, Han, Jiawei
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering algorithms Clustering methods Communities density-based method Educational institutions hierarchical clustering Image edge detection Joining processes Network clustering parameter selection Periodic structures spanning tree Studies
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