521 search results - page 10 / 105 » Coring method for clustering a graph |
166
Voted
AUSAI
2009
Springer
15 years 10 months ago
2009
Springer
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
140
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KDD
2005
ACM
16 years 4 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...
120
Voted
COLT
2005
Springer
15 years 9 months ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
125
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JDCTA
2010
14 years 10 months 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 ...
135
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PLDI
2003
ACM
15 years 9 months ago
2003
ACM
Clustered architectures are a solution to the bottleneck of centralized register ļ¬les in superscalar and VLIW processors. The main challenge associated with clustered architectu...