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Application of the conditional fuzzy clustering with prototypes pairs to classification

  • Institute of Medical Technology and Equipment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In the paper the conditional fuzzy clustering algorithm dedicated to classification methods is proposed. Three methods determining conditional variable values are presented. The clustering is applied to the nonlinear extension of the IRLS classifier, which uses different loss functions. Classification quality and computing time achieved for six benchmark datasets are compared with the Lagrangian SVM method.

Original languageEnglish
Title of host publicationMan-Machine Interactions 3
EditorsAleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski
PublisherSpringer Verlag
Pages397-405
Number of pages9
ISBN (Electronic)9783319023083
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland
Duration: 22 Oct 201325 Oct 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume242
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Man-Machine Interactions, ICMMI 2013
Country/TerritoryPoland
CityBrenna
Period22/10/1325/10/13

Keywords

  • Classification
  • Conditional clustering
  • Fuzzy clustering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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