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» Clustering with Multiple Graphs
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SIGIR
2006
ACM
15 years 6 months ago
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
Oren Kurland, Lillian Lee
110
Voted
COMPLIFE
2005
Springer
15 years 6 months ago
The Architecture of a Proteomic Network in the Yeast
Abstract. We describe an approach to clustering the yeast protein-protein interaction network in order to identify functional modules, groups of proteins forming multi-protein comp...
Emad Ramadan, Christopher Osgood, Alex Pothen
127
Voted
IWCMC
2010
ACM
15 years 5 months ago
Group detection in mobility traces
—Analysis and modeling of wireless networks greatly depend on understanding the structure of underlying mobile nodes. In this paper we present two clustering algorithms to determ...
Yung-Chih Chen, Elisha J. Rosensweig, Jim Kurose, ...
92
Voted
ICML
2006
IEEE
16 years 1 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
99
Voted
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 4 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina