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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2015.554
URN: urn:nbn:de:0030-drops-49411
URL: http://drops.dagstuhl.de/opus/volltexte/2015/4941/
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Klein, Philip N. ; Mathieu, Claire ; Zhou, Hang

Correlation Clustering and Two-edge-connected Augmentation for Planar Graphs

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Abstract

In correlation clustering, the input is a graph with edge-weights, where every edge is labelled either + or - according to similarity of its endpoints. The goal is to produce a partition of the vertices that disagrees with the edge labels as little as possible. In two-edge-connected augmentation, the input is a graph with edge-weights and a subset R of edges of the graph. The goal is to produce a minimum weight subset S of edges of the graph, such that for every edge in R, its endpoints are two-edge-connected in R\cup S. For planar graphs, we prove that correlation clustering reduces to two-edge-connected augmentation, and that both problems have a polynomial-time approximation scheme.

BibTeX - Entry

@InProceedings{klein_et_al:LIPIcs:2015:4941,
  author =	{Philip N. Klein and Claire Mathieu and Hang Zhou},
  title =	{{Correlation Clustering and Two-edge-connected Augmentation for Planar Graphs}},
  booktitle =	{32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015)},
  pages =	{554--567},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-78-1},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{30},
  editor =	{Ernst W. Mayr and Nicolas Ollinger},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/4941},
  URN =		{urn:nbn:de:0030-drops-49411},
  doi =		{10.4230/LIPIcs.STACS.2015.554},
  annote =	{Keywords: correlation clustering, two-edge-connected augmentation, polynomial-time approximation scheme, planar graphs}
}

Keywords: correlation clustering, two-edge-connected augmentation, polynomial-time approximation scheme, planar graphs
Seminar: 32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015)
Issue Date: 2015
Date of publication: 25.02.2015


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