961 search results - page 4 / 193 » Significance-Driven Graph Clustering |
APVIS
2006
13 years 7 months ago
2006
We introduce a class of graphs called an intersecting clustered graph that is a clustered graph with intersections among clusters. We propose a novel method for nicely drawing the...
INCDM
2010
Springer
13 years 4 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
This paper considers the problem of clustering a partially observed unweighted graph – i.e. one where for some node pairs we know there is an edge between them, for some others ...
RSA
2011
13 years 27 days ago
2011
In 2007 we introduced a general model of sparse random graphs with independence between the edges. The aim of this paper is to present an extension of this model in which the edge...