The goal of the cluster editing problem is to add or delete a minimum number of edges from a given graph, so that the resulting graph becomes a union of disjoint cliques. The cluster editing problem is closely related to correlation clustering and has applications, e.g. in image segmentation. For general graphs this problem is APX-hard. In this paper we present an efficient polynomial time approximation scheme for the cluster editing problem on graphs embeddable in the plane with a few edge crossings. The running time of the algorithm is 2O(k2ϵ−1 log(ϵ−1))n for planar graphs and 2O(k2ϵ−1 log(k2ϵ−1))n for planar graphs with at most k crossings.
CITATION STYLE
Berger, A., Grigoriev, A., & Winokurow, A. (2017). A PTAS for the cluster editing problem on planar graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10138 LNCS, pp. 27–39). Springer Verlag. https://doi.org/10.1007/978-3-319-51741-4_3
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