DocumentCode :
615367
Title :
A Graph Clustering algorithm based on shared neighbors and connectivity
Author :
Zhang Huijuan ; Sun Shixuan
Author_Institution :
Sch. of Software Eng., Tongji Univ., Shanghai, China
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
761
Lastpage :
764
Abstract :
Graph Clustering algorithm is useful to detect clusters in a graph. However, the existing algorithms are mainly focus on connectivity or attributes of vertices. In this paper, we propose a new algorithm called SNGC that both consider shared neighbors and connectivity between vertices. Furthermore, we implement this algorithm and test it in several experiments. The results show that the performance of SNGC algorithm is pretty well.
Keywords :
graph theory; pattern clustering; SNGC algorithm; cluster detection; connectivity; graph clustering algorithm; shared neighbors; vertex attributes; Clusters; Connectivity; Graph Clustering; Shared Neighbors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6554010
Filename :
6554010
Link To Document :
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