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» Editing Graphs into Disjoint Unions of Dense Clusters
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ISAAC
2009
Springer
84views Algorithms» more  ISAAC 2009»
13 years 11 months ago
Editing Graphs into Disjoint Unions of Dense Clusters
Jiong Guo, Iyad A. Kanj, Christian Komusiewicz, Jo...
COCOA
2008
Springer
13 years 6 months ago
Going Weighted: Parameterized Algorithms for Cluster Editing
The goal of the Cluster Editing problem is to make the fewest changes to the edge set of an input graph such that the resulting graph is a disjoint union of cliques. This problem i...
Sebastian Böcker, Sebastian Briesemeister, Qu...
AAIM
2009
Springer
118views Algorithms» more  AAIM 2009»
13 years 11 months ago
A More Relaxed Model for Graph-Based Data Clustering: s-Plex Editing
We introduce the s-Plex Editing problem generalizing the well-studied Cluster Editing problem, both being NP-hard and both being motivated by graph-based data clustering. Instead o...
Jiong Guo, Christian Komusiewicz, Rolf Niedermeier...
ESCAPE
2007
Springer
256views Algorithms» more  ESCAPE 2007»
13 years 8 months ago
A More Effective Linear Kernelization for Cluster Editing
In the NP-hard Cluster Editing problem, we have as input an undirected graph G and an integer k 0. The question is whether we can transform G, by inserting and deleting at most k ...
Jiong Guo
WG
2010
Springer
13 years 3 months ago
Generalized Graph Clustering: Recognizing (p, q)-Cluster Graphs
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...
Pinar Heggernes, Daniel Lokshtanov, Jesper Nederlo...