16 search results - page 2 / 4 » Scalable graph clustering using stochastic flows: applicatio... |
SDM
2011
SIAM
12 years 8 months ago
2011
SIAM
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
CCGRID
2006
IEEE
13 years 11 months ago
2006
IEEE
During the past decade, the scientific community has witnessed the rapid accumulation of gene sequence data and data related to physiology and biochemistry of organisms. Bioinform...
IPPS
2008
IEEE
13 years 11 months ago
2008
IEEE
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
HICSS
2008
IEEE
13 years 11 months ago
2008
IEEE
Containing much valuable information, networks such as the World Wide Web, social networks and metabolic networks draw increasingly attention in scientific communities. Network cl...