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» Experiments on Graph Clustering Algorithms
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IJON
2010
94views more  IJON 2010»
13 years 6 months ago
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...
Fabrice Rossi, Nathalie Villa-Vialaneix
WWW
2008
ACM
14 years 8 months ago
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
Manjeet Rege, Ming Dong, Jing Hua
MLMTA
2007
13 years 9 months ago
Consensus Based Ensembles of Soft Clusterings
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
Kunal Punera, Joydeep Ghosh
JDA
2010
131views more  JDA 2010»
13 years 5 months ago
Convex drawings of hierarchical planar graphs and clustered planar graphs
: Hierarchical graphs are graphs with layering structures; clustered graphs are graphs with recursive clustering structures. Both have applications in VLSI design, CASE tools, soft...
Seok-Hee Hong, Hiroshi Nagamochi
IV
2005
IEEE
131views Visualization» more  IV 2005»
14 years 1 months ago
A Framework for Visualising Large Graphs
Visualising large graphs faces the challenges of both data complexity and visual complexity. This paper presents a framework for visualising large graphs that reduces data complex...
Wanchun Li, Seok-Hee Hong, Peter Eades