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» Significance-Driven Graph Clustering
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LATIN
2010
Springer
15 years 7 months ago
Kernelization through Tidying
Abstract. We introduce the NP-hard graph-based data clustering problem s-Plex Cluster Vertex Deletion, where the task is to delete at most k vertices from a graph so that the conne...
René van Bevern, Hannes Moser, Rolf Niederm...
92
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COCOON
2009
Springer
15 years 7 months ago
Graph-Based Data Clustering with Overlaps
We introduce overlap cluster graph modification problems where, other than in most previous work, the clusters of the target graph may overlap. More precisely, the studied graph p...
Michael R. Fellows, Jiong Guo, Christian Komusiewi...
119
Voted
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 2 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
126
Voted
IJWMC
2010
115views more  IJWMC 2010»
14 years 10 months ago
Small-world effects in wireless agent sensor networks
Coverage, fault tolerance and power consumption constraints make optimal placement of mobile sensors or other mobile agents a hard problem. We have developed a model for describin...
Kenneth A. Hawick, Heath A. James
144
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ICTAI
2009
IEEE
14 years 10 months ago
A Generalized Cyclic-Clustering Approach for Solving Structured CSPs
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
Cédric Pinto, Cyril Terrioux