961 search results - page 25 / 193 » Significance-Driven Graph Clustering |
FLAIRS
2000
13 years 11 months ago
2000
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
BMCBI
2011
13 years 4 months ago
2011
Background: Standard graphs, where each edge links two nodes, have been extensively used to represent the connectivity of metabolic networks. It is based on this representation th...
IM
2008
13 years 9 months ago
2008
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
GFKL
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...