@InProceedings{manthey_et_al:LIPIcs.STACS.2024.52,
  author =	{Manthey, Bodo and van Rhijn, Jesse},
  title =	{{Worst-Case and Smoothed Analysis of the Hartigan-Wong Method for k-Means Clustering}},
  booktitle =	{41st International Symposium on Theoretical Aspects of Computer Science (STACS 2024)},
  pages =	{52:1--52:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-311-9},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{289},
  editor =	{Beyersdorff, Olaf and Kant\'{e}, Mamadou Moustapha and Kupferman, Orna and Lokshtanov, Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2024.52},
  URN =		{urn:nbn:de:0030-drops-197628},
  doi =		{10.4230/LIPIcs.STACS.2024.52},
  annote =	{Keywords: k-means clustering, smoothed analysis, probabilistic analysis, local search, heuristics}
}