Validation of fuzzy partitions obtained through fuzzy C-means clustering

被引：0
|
作者：
Kim, DW [1 ]
Lee, KH
机构：
[1] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea
[2] Korea Adv Inst Sci & Technol, Dept BioSyst, Taejon 305701, South Korea
来源：
FOUNDATIONS OF INTELLIGENT SYSTEMS | 2003年 / 2871卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new cluster validity index is proposed to determine the optimal number of clusters for fuzzy partitions obtained from the fuzzy c-means algorithm. The proposed validity index exploits an overlap measure and a separation measure between clusters. A good fuzzy partition is expected to have a low degree of overlap and a larger separation distance. Testing of the proposed index on well-known data sets showed its superior effectiveness and reliability in comparison to other indexes.
引用
收藏
页码：422 / 426
页数：5
相关论文
共 50 条
  • [1] Validation of fuzzy partitions obtained through fuzzy c-means clustering
    Kim, D.-W. (dwkim@if.kaist.ac.kr), Maebashi Institute of Technology; Maebashi Convention Bureau; Maebashi City Government; Gunma Prefecture Government; US AFOSR/AOARD (Springer Verlag):
  • [2] Measuring the congruence of fuzzy partitions in fuzzy c-means clustering
    Suleman, Abdul
    APPLIED SOFT COMPUTING, 2017, 52 : 1285 - 1295
  • [3] Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions
    Zhu, Lin
    Chung, Fu-Lai
    Wang, Shitong
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (03): : 578 - 591
  • [4] Fuzzy C-Means and Fuzzy TLBO for Fuzzy Clustering
    Krishna, P. Gopala
    Bhaskari, D. Lalitha
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 1, 2016, 379 : 479 - 486
  • [5] Fuzzy c-means for fuzzy hierarchical clustering
    Vicenc, T
    FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD, 2005, : 646 - 651
  • [6] The Lifestyles of Families through Fuzzy C-Means Clustering
    Montrone, Silvestro
    Perchinunno, Paola
    L'Abbate, Samuela
    Zitolo, Maria Rosaria
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT III, 2014, 8581 : 122 - 134
  • [7] Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
    Izakian, Hesam
    Abraham, Ajith
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (03) : 1835 - 1838
  • [8] A fuzzy clustering model of data and fuzzy c-means
    Nascimento, S
    Mirkin, B
    Moura-Pires, F
    NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2, 2000, : 302 - 307
  • [9] Mixed fuzzy C-means clustering
    Demirhan, Haydar
    INFORMATION SCIENCES, 2025, 690
  • [10] Clustering System Group Customers through Fuzzy C-Means Clustering
    Hasanpour, Yaser
    Nemati, Shima
    Tavoli, Reza
    2018 4TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS), 2018, : 161 - 165
12345