@InProceedings{schulz_et_al:LIPIcs.IPEC.2022.25,
  author =	{Schulz, Hjalmar and Nichterlein, Andr\'{e} and Niedermeier, Rolf and Weyand, Christopher},
  title =	{{Applying a Cut-Based Data Reduction Rule for Weighted Cluster Editing in Polynomial Time}},
  booktitle =	{17th International Symposium on Parameterized and Exact Computation (IPEC 2022)},
  pages =	{25:1--25:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-260-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{249},
  editor =	{Dell, Holger and Nederlof, Jesper},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2022.25},
  URN =		{urn:nbn:de:0030-drops-173816},
  doi =		{10.4230/LIPIcs.IPEC.2022.25},
  annote =	{Keywords: Correlation Clustering, Minimum Cut, Maximum s-t-Flow}
}