• DocumentCode
    588864
  • Title

    Class Assignment Algorithms for Performance Measure of Clustering Algorithms

  • Author

    Jie Zhang ; Xingsi Xue ; Yuping Wang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´an, China
  • fYear
    2012
  • fDate
    17-18 Nov. 2012
  • Firstpage
    103
  • Lastpage
    106
  • Abstract
    To measure the performance or validity of clustering algorithms, several evaluation values, such as successful rate, successful number and full successful rate are defined. In order to ensure each cluster to at least contain one vector data, and to maximize several proposed evaluation values, two class assignment algorithms are designed. To testify their performance, we employ them to the k-means clustering algorithms.
  • Keywords
    data mining; pattern clustering; class assignment algorithms; data mining; k-means clustering algorithms; performance measure; successful number; successful rate; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Indexes; Partitioning algorithms; Tin; Vectors; class assignment; clustering algorithms; performance measure; successful number; successful rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-4725-9
  • Type

    conf

  • DOI
    10.1109/CIS.2012.31
  • Filename
    6405876