Determining the Optimal Number of Clusters by an Extended RPCL Algorithm

被引：0
|
作者：
Li, Mn [1 ]
Mak, Man Wai [1 ]
Li, Chi Kwong [1 ]
机构：
[1] Departrnent of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong
来源：
Journal of Advanced Computational Intelligence and Intelligent Informatics | 1999年 / 3卷 / 06期
关键词：
Ackuewledgement This project was supported by The Hong Kong Polytechnic University;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
21
引用
收藏
页码：467 / 473
相关论文
共 50 条
  • [1] An improved RPCL algorithm for determining clustering number automatically
    Yang, Jun
    Jin, Lianwen
    TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2006, : 417 - +
  • [2] A new evolutionary algorithm for determining the optimal number of clusters
    Lu, Wei
    Traore, Issa
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 648 - +
  • [3] Determining the optimal number of clusters using a new evolutionary algorithm
    Lu, W
    Traore, I
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 712 - 713
  • [4] An Improved Multi-SOM Algorithm for Determining the Optimal Number of Clusters
    Khanchouch, Imen
    Charrad, Malika
    Limam, Mohamed
    COMPUTER AND INFORMATION SCIENCE 2015, 2016, 614 : 189 - 201
  • [5] Fuzzy C-Means Algorithm Automatically Determining Optimal Number of Clusters
    Xing, Ruikang
    Li, Chenghai
    CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 60 (02): : 767 - 780
  • [6] A method for determining optimal number of clusters based on K-means algorithm
    Qin, Zhentao
    Yang, Wunian
    Qin, Z. (qzt2008@sina.com), 1600, Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States (09): : 6123 - 6130
  • [7] DETERMINING THE OPTIMAL NUMBER OF CLUSTERS IN CLUSTER ANALYSIS
    Loster, Tomas
    10TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2016, : 1078 - 1090
  • [8] Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm
    Khan, Iliyas Karim
    Daud, Hanita Binti
    Zainuddin, Nooraini Binti
    Sokkalingam, Rajalingam
    Farooq, Muhammad
    Baig, Muzammil Elahi
    Ayub, Gohar
    Zafar, Mudasar
    EGYPTIAN INFORMATICS JOURNAL, 2024, 27
  • [9] A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters
    Ren, Min
    Liu, Peiyu
    Wang, Zhihao
    Yi, Jing
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2016, 2016
  • [10] Fuzzy clustering algorithm for automatically determining the number of clusters
    Hu Yangyang
    Liu Zengli
    CONFERENCE PROCEEDINGS OF 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2019), 2019,
12345