• DocumentCode
    3165932
  • Title

    Theoretical examination of clustering structure in fuzzy joint points method

  • Author

    Ulutagay, Gozde

  • Author_Institution
    Dept. of Ind. Eng., Izmir Univ., Izmir, Turkey
  • fYear
    2013
  • fDate
    24-28 June 2013
  • Firstpage
    496
  • Lastpage
    501
  • Abstract
    The Fuzzy Joint Points (FJP) method which comprehends fuzziness in a level-based point of view is handled. At each iteration of the clustering process, unlike the classical fuzzy clustering in which the membership degrees of the points to the clusters are determined, the points which constitute the α-level sets are determined in FJP algorithm. In this study, some theoretical results are given for the analysis of the cluster structure.
  • Keywords
    fuzzy set theory; pattern clustering; α-level sets; clustering structure; fuzziness; fuzzy clustering; fuzzy joint points method; Algorithm design and analysis; Clustering algorithms; Databases; Joints; Optics; Partitioning algorithms; Upper bound; Cluster analysis; Fuzzy Joint Points (FJP) algorithm; fuzzy α-joint points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
  • Conference_Location
    Edmonton, AB
  • Type

    conf

  • DOI
    10.1109/IFSA-NAFIPS.2013.6608450
  • Filename
    6608450
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3165932