A new fuzzy C-means with priority

被引：0
|
作者：
Gao, Jun [1 ]
Xiang, Lili [1 ]
Wang, Jiandong [2 ]
机构：
[1] Yancheng Inst Technol, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2 | 2007年
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：
As traditional fuzzy C-means (FCM) has its shortages, we present an improved algorithm: M_FCM. The theory of fuzzy equivalency is used to deal with the original samples for getting the number of clusters and the original clustering center. By improving the clustering objective functions, the abilities of C-means are to handle isolated points and to show the significance of each dimension in the samples for clustering effect also enhanced. An experiment is finally conducted to make the M_FCM clearer.
引用
收藏
页码：1014 / 1018
页数：5
相关论文
共 50 条
  • [21] Medical Image Segmentation With Fuzzy C-Means and Kernelized Fuzzy C-Means Hybridized on PSO and QPSO
    Venkatesan, Anusuya
    Parthiban, Latha
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2017, 14 (01) : 53 - 59
  • [22] 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
  • [23] A New Fuzzy c-Means Clustering Algorithm for Interval Data
    Jin, Yan
    Ma, Jianghong
    2013 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2013), 2013, : 156 - 159
  • [24] A New Criterion for Improving Convergence of Fuzzy C-Means Clustering
    Perez-Ortega, Joaquin
    Moreno-Calderon, Carlos Fernando
    Roblero-Aguilar, Sandra Silvia
    Almanza-Ortega, Nelva Nely
    Frausto-Solis, Juan
    Pazos-Rangel, Rodolfo
    Rodriguez-Lelis, Jose Maria
    AXIOMS, 2024, 13 (01)
  • [25] A New Internal Validity Index for Fuzzy c-Means Algorithm
    Nurmazianna Ismail, Khairul
    Seman, Ali
    Airin Fariza Abu Samah, Khyrina
    IEEE ACCESS, 2024, 12 : 85995 - 86012
  • [26] A New Image Enhancement Based on the Fuzzy C-Means Clustering
    Liu, Yucheng
    Liu, Yubin
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (3B): : 1 - 4
  • [27] A New Membership Scaling Fuzzy C-Means Clustering Algorithm
    Zhou, Shuisheng
    Li, Dong
    Zhang, Zhuan
    Ping, Rui
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (09) : 2810 - 2818
  • [28] A new approach for measuring the validity of the fuzzy c-means algorithm
    Tsekouras, GE
    Sarimveis, H
    ADVANCES IN ENGINEERING SOFTWARE, 2004, 35 (8-9) : 567 - 575
  • [29] A New Clustering Validity Function for the Fuzzy C-means Algorithm
    Wang, Jiesheng
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 2477 - 2480
  • [30] New Shadowed Fuzzy C-Means Algorithm for Image Segmentation
    Chen, Long
    Chen, Shihong
    IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2016, : 43 - 46
12345