Cluster Editing with Locally Bounded Modifications Revisited

Abstract

For Cluster Editing where both the number of clusters and the edit degree are bounded, we speed up the kernelization by almost a factor n compared to Komusiewicz and Uhlmann (2012), at cost of a marginally worse kernel size bound. We also give sufficient conditions for a subset of vertices to be a cluster in some optimal clustering.

DOI: 10.1007/978-3-642-45278-9_38

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Cite this paper

@inproceedings{Damaschke2013ClusterEW, title={Cluster Editing with Locally Bounded Modifications Revisited}, author={Peter Damaschke}, booktitle={IWOCA}, year={2013} }