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» Clustering with Multiple Graphs
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WAW
2010
Springer
306views Algorithms» more  WAW 2010»
14 years 10 months ago
Finding and Visualizing Graph Clusters Using PageRank Optimization
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
Fan Chung Graham, Alexander Tsiatas
97
Voted
ICML
2005
IEEE
16 years 1 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
102
Voted
JDCTA
2010
130views more  JDCTA 2010»
14 years 7 months ago
A Search Algorithm for Clusters in a Network or Graph
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 ...
Dongming Chen, Jing Wang, Xiaodong Chen, Xiaowei X...
115
Voted
ICCV
2007
IEEE
15 years 6 months ago
Latent Model Clustering and Applications to Visual Recognition
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
Simon Polak, Amnon Shashua
132
Voted
ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
14 years 10 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...