961 search results - page 3 / 193 » Significance-Driven Graph Clustering |
EDBT
2011
ACM
12 years 8 months ago
2011
ACM
Graph clustering has generally concerned itself with clustering undirected graphs; however the graphs from a number of important domains are essentially directed, e.g. networks of...
WAW
2010
Springer
13 years 3 months ago
2010
Springer
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
JDCTA
2010
13 years 2 days ago
2010
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...