961 search results - page 48 / 193 » Significance-Driven Graph Clustering |
ICCS
2004
Springer
15 years 6 months ago
2004
Springer
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
104
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BMCBI
2010
15 years 22 days ago
2010
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
133
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SOFSEM
2007
Springer
15 years 6 months ago
2007
Springer
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar graph G = (V, E) with an assignment of the vertices to horizontal layers, a plane ...
109
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WEA
2010
Springer
15 years 5 months ago
2010
Springer
Maximizing the quality index modularity has become one of the primary methods for identifying the clustering structure within a graph. As contemporary networks are not static but e...
ACSAC
2005
IEEE
15 years 6 months ago
2005
IEEE
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...