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On the selection of m for Fuzzy c-Means
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
2015 (English)In: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology / [ed] José M. Alonso, Humberto Bustince & Marek Reformat, Paris: Atlantis Press , 2015, 1571-1577 p.Conference paper (Refereed)
Abstract [en]

Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithmthat permits us to build a fuzzy partition from data. The algorithm depends on a parameter m whichcorresponds to the degree of fuzziness of the solution. Large values of m will blur the classes andall elements tend to belong to all clusters. The solutionsof the optimization problem depend on theparameter m. That is, different selections of m willtypically lead to different partitions. In this paper we study and compare the effect ofthe selection of m obtained from the fuzzy c-means.

Place, publisher, year, edition, pages
Paris: Atlantis Press , 2015. 1571-1577 p.
Series
Advances in Intelligent Systems Research, ISSN 1951-6851 ; 89
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:his:diva-11632DOI: 10.2991/ifsa-eusflat-15.2015.224ISI: 000358581100223ISBN: 978-94-62520-77-6 OAI: oai:DiVA.org:his-11632DiVA: diva2:865640
Conference
16th World Congress of the International Fuzzy Systems Association (IFSA) / 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Gijon, Spain, June 30-July 3, 2015
Note

Conference general chair: Luis Magdalena Layos

Available from: 2015-10-28 Created: 2015-10-28 Last updated: 2016-05-30Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf