English  |  正體中文  |  简体中文  |  Items with full text/Total items : 25398/25993 (98%)
Visitors : 6191146      Online Users : 28
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/5704


    Title: An analysis of partition index maximization algorithm
    Authors: Kuo-Lung Wu (吳國龍)
    Date: 2009-08-20
    Issue Date: 2009-11-20 00:32:00 (UTC+8)
    Abstract: In the traditional fuzzy c-means clustering
    algorithm, nearly no data points have a membership value
    one. Ozdemir  and Akarum proposed a partition index
    maximization (PIM) algorithm which allows the data
    points can whole belonging to one cluster. This
    modification can form a core for each cluster and data
    points inside the core will have membership value {0,1}. In
    this paper, we will discuss the parameter selection
    problems and robust properties of the PIM algorithm.
    Relation: K.L. Wu, An analysis of partition index maximization algorithm, 2009 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE, ICC Jeju, Jeju Island, Korea, August 20~24, 2009, pp. 1785-1790.
    Appears in Collections:[資訊管理系所] 會議論文

    Files in This Item:

    File Description SizeFormat
    An analysis of partition index maximization algorithm.pdf704KbAdobe PDF86View/Open


    All items in KSUIR are protected by copyright, with all rights reserved.


    本網站之所有圖文內容授權為崑山科技大學圖書資訊館所有,請勿任意轉載或擷取使用。
    ©Kun Shan University Library and Information Center
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback