Generalized Fuzzy c-Means Clustering and its Property of Fuzzy Classification Function

被引：8
|
作者：
Kanzawa, Yuchi [1 ]
Miyamoto, Sadaaki [2 ]
机构：
[1] Shibaura Inst Technol, Koto Ku, 3-7-5 Toyosu, Tokyo 1358548, Japan
[2] Univ Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058573, Japan
来源：
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2021年 / 25卷 / 01期
关键词：
fuzzy c-means clustering; fuzzy classification function; MAXIMIZING MODEL; ALGORITHMS;
D O I：
10.20965/jaciii.2021.p0073
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This study shows that a generalized fuzzy c-means (gFCM) clustering algorithm, which covers both standard and exponential fuzzy c-means clustering, can be constructed if a given fuzzified function, its derivative, and its inverse derivative can be calculated. Furthermore, our results show that the fuzzy classification function for gFCM exhibits a behavior similar to that of both standard and exponential fuzzy c-means clustering.
引用
收藏
页码：73 / 82
页数：10
相关论文
共 50 条
  • [31] Audio signal segmentation and classification using fuzzy c-means clustering
    Nitanda, Naoki
    Haseyama, Miki
    Kitajima, Hideo
    Systems and Computers in Japan, 2006, 37 (04): : 23 - 34
  • [32] Classification of soothing music using Fuzzy C-Means clustering algorithm
    Hsu, Ya-Wen
    Tsai, Hong-Pin
    Chiu, Ming-Chuan
    Hwang, Sheue-Ling
    Shih, Hsiang-Lan
    Huang, Fang-Ting
    Lee, Chun-Ting
    BRIDGING RESEARCH AND GOOD PRACTICES TOWARDS PATIENT WELFARE: HEALTHCARE SYSTEMS ERGONOMICS AND PATIENT SAFETY 2014, 2015, : 337 - 345
  • [33] Classification of text documents using adaptive fuzzy C-means clustering
    1600, Springer Verlag (235):
  • [34] Kernel Based Fuzzy C-Means Clustering for Chronic Sinusitis Classification
    Putri, Rezki Aulia
    Rustam, Zuherman
    Pandelaki, Jacub
    9TH ANNUAL BASIC SCIENCE INTERNATIONAL CONFERENCE 2019 (BASIC 2019), 2019, 546
  • [35] Data classification based on subtractive and gravity fuzzy C-means clustering
    Jin, YG
    Kwon, OS
    Kim, TK
    FUZZY LOGIC AND INTELLIGENT TECHNOLOGIES FOR NUCLEAR SCIENCE AND INDUSTRY, 1998, : 143 - 150
  • [36] Intuitionistic fuzzy C-means clustering algorithms
    Zeshui Xu1
    2.Institute of Sciences
    3.Department of Information Systems
    Journal of Systems Engineering and Electronics, 2010, 21 (04) : 580 - 590
  • [37] A possibilistic fuzzy c-means clustering algorithm
    Pal, NR
    Pal, K
    Keller, JM
    Bezdek, JC
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2005, 13 (04) : 517 - 530
  • [38] An efficient Fuzzy C-Means clustering algorithm
    Hung, MC
    Yang, DL
    2001 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2001, : 225 - 232
  • [39] An Improved Fuzzy C-means Clustering Algorithm
    Duan, Lingzi
    Yu, Fusheng
    Zhan, Li
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1199 - 1204
  • [40] Ensemble Clustering via Fuzzy c-Means
    Wan, Xin
    Lin, Hao
    Li, Hong
    Liu, Guannan
    An, Maobo
    2017 14TH INTERNATIONAL CONFERENCE ON SERVICES SYSTEMS AND SERVICES MANAGEMENT (ICSSSM), 2017,
12345