• DocumentCode
    507198
  • Title

    An Attribute Reduct Algorithm Based on Clustering

  • Author

    Wenjun, Liu

  • Author_Institution
    Dept. of Math. & Comput. Sci., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    First, combining the clustering techniques and rough set theory, we put forward an attribute significance algorithm of continuous domain decision table. Then, an attribute reduct algorithm is obtained according to significance of attribute. At last, the effectiveness of this attribute reduct algorithm is verified through a concrete example.
  • Keywords
    decision tables; pattern clustering; rough set theory; attribute reduct algorithm; continuous domain decision table; rough set theory; Cities and towns; Clustering algorithms; Concrete; Fuzzy systems; Inference algorithms; Logic; Mathematics; Rough sets; Seminars; Set theory; attribute reduct; clustering; fuzzy sets; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.570
  • Filename
    5359801
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=507198