BibTeX Export for Fréchet Mean and p-Mean on the Unit Circle: Decidability, Algorithm, and Applications to Clustering on the Flat Torus

Copy to Clipboard Download

@InProceedings{cazals_et_al:LIPIcs.SEA.2021.15,
  author =	{Cazals, Fr\'{e}d\'{e}ric and Delmas, Bernard and O'Donnell, Timothee},
  title =	{{Fr\'{e}chet Mean and p-Mean on the Unit Circle: Decidability, Algorithm, and Applications to Clustering on the Flat Torus}},
  booktitle =	{19th International Symposium on Experimental Algorithms (SEA 2021)},
  pages =	{15:1--15:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-185-6},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{190},
  editor =	{Coudert, David and Natale, Emanuele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2021.15},
  URN =		{urn:nbn:de:0030-drops-137870},
  doi =		{10.4230/LIPIcs.SEA.2021.15},
  annote =	{Keywords: Frech\'{e}t mean, p-mean, circular statistics, decidability, robustness, multi-precision, angular spaces, flat torus, clustering, molecular conformations}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode