• DocumentCode
    133325
  • Title

    A novel study of fuzzy clustering algorithms for their applications in various domains

  • Author

    Vats, Prashant

  • Author_Institution
    HMRITM, New Delhi, India
  • fYear
    2014
  • fDate
    5-8 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fuzzy clustering techniques allows for a meaningful generalizations to be made in bulk quantities of data by recognizing a few basic patterns among them. Fuzzy clustering approach is based on statistical analysis of data sets for determining whether the objects of a space would fall into different groups by making quantifiable comparisons of multiple characteristics. This technique finds its applications in providing solutions to a number of real time problems. So in this paper we have enlisted few applications of Fuzzy clustering technique into various areas for their useful results produced by the application of this technique into the respective areas.
  • Keywords
    data analysis; pattern clustering; statistical analysis; data set statistical analysis; fuzzy clustering algorithm; fuzzy clustering technique; pattern recognition; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Complexity theory; Image segmentation; Standards; Synthetic aperture radar; Fuzzy clustering; clusters; clutters; data sets; mediods; outliers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology, Electronic and Electrical Engineering (JICTEE), 2014 4th Joint International Conference on
  • Conference_Location
    Chiang Rai
  • Print_ISBN
    978-1-4799-3854-4
  • Type

    conf

  • DOI
    10.1109/JICTEE.2014.6804068
  • Filename
    6804068