• DocumentCode
    492500
  • Title

    Clustering Algorithm Using Quoting Relation of Documents

  • Author

    Jeong, Hye-Jin

  • Author_Institution
    Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju
  • Volume
    2
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    29
  • Lastpage
    34
  • Abstract
    There is increasing interest in clustering, owing to improvements in computer capacity and expanding accessible information, circa 1990s. This paper aims to increase cohesion of clustering borrowing from techniques of pagerank showing the links among pages by assigning numerical values to the relevance of pages linked in Web pages. There are cases that need to be referenced in other documents because of any index in academic information. The greater the frequency of referenced academic information, the higher the probability that the referenced index of the document is relevant. Relations among documents referencing each other, are calculated via literature citing each document. The method of increasing the cohesion of clustering involves controlling the distance between two documents based on the values.
  • Keywords
    Internet; document handling; information retrieval; pattern classification; pattern clustering; probability; unsupervised learning; Web page; academic information; cohesion clustering algorithm; document referencing index; probability; quoting relation; unsupervised learning classification; Clustering algorithms; Conferences; Clustering; quoting relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-3430-5
  • Electronic_ISBN
    978-0-7695-3546-3
  • Type

    conf

  • DOI
    10.1109/FGCNS.2008.77
  • Filename
    4813515