Cluster editing with locally bounded modifications revisited
Paper i proceeding, 2013

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.

cluster editing


edit degree

list edge coloring


Peter Damaschke

Chalmers, Data- och informationsteknik, Datavetenskap

24th International Workshop on Combinatorial Algorithms IWOCA 2013, Lecture Notes in Computer Science

Vol. 8288 433-437



Diskret matematik


Grundläggande vetenskaper