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.
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