FCM Algorithm: Analysis of the Membership Function Influence and Its consequences for fuzzy clustering

被引：0
|
作者：
Mantilla, Luis [1 ]
Yari, Yessenia [2 ]
机构：
[1] Univ Catolica Trujillo Benedicto XVI, Trujillo, Peru
[2] Univ Catolica San Pablo, Arequipa, Peru
来源：
2020 IEEE COLOMBIAN CONFERENCE ON APPLICATIONS OF COMPUTATIONAL INTELLIGENCE (IEEE COLCACI 2020) | 2020年
关键词：
Satellite image; clustering; segmentation; Fuzzy C-Means; fuzzy clustering; SEGMENTATION;
D O I：
10.1109/colcaci50549.2020.9247944
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image segmentation in satellite images is a task widely investigated since we can extract some information of an image and analyze it. We propose to use a weighted factor for each of the distances used to calculate the degree of membership of each element to the cluster. In this way, we seek to reduce the influence of the upper and the lower bounds on the FCM equation. This paper reports preliminary results of the experiments and shows that the proposed algorithm performs accurately on a real dataset. For the evaluation of the algorithm, different cluster validity indexes are employed.
引用
收藏
页数：7
相关论文
共 50 条
  • [41] A Spectrum of Fuzzy Clustering Algorithm and its applications
    Malhotra, Virender Kumar
    Kaur, Harleen
    Alam, M. Afshar
    2013 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND RESEARCH ADVANCEMENT (ICMIRA 2013), 2013, : 599 - 603
  • [42] A novel automatic fuzzy clustering algorithm based on soft partition and membership information
    Chen Hai-peng
    Shen Xuan-Jing
    Lv Ying-da
    Long Jian-Wu
    NEUROCOMPUTING, 2017, 236 : 104 - 112
  • [43] A clustering algorithm with genetically optimized membership functions for fuzzy association rules mining
    Kaya, M
    Alhajj, R
    PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2, 2003, : 881 - 886
  • [44] On the use of inclusion structure in fuzzy clustering algorithm in case of Gaussian membership functions
    Nefti-Meziani, Samia
    Oussalah, Mourad
    Soufian, Majeed
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 28 (04) : 1477 - 1493
  • [45] Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm
    Ganguly, Srinjoy
    Bose, Digbalay
    Konar, Amit
    2013 FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC), 2013, : 27 - 32
  • [46] Clustering Validity Function Fusion Method of FCM Clustering Algorithm Based on Dempster–Shafer Evidence Theory
    Hong-Yu Wang
    Jie-Sheng Wang
    Guan Wang
    International Journal of Fuzzy Systems, 2022, 24 : 650 - 675
  • [47] Robust FCM clustering algorithm with combined spatial constraint and membership matrix local information for brain MRI segmentation
    Kouhi, Abolfazl
    Seyedarabi, Hadi
    Aghagolzadeh, Ali
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 146 (146)
  • [48] MEMBERSHIP FUNCTION OF PROCESS PARAMETERS FORMATION BASED ON FUZZY CLUSTERING OF PRODUCTION DATA
    Vasileva, N. V.
    Kadyrov, E. D.
    JOURNAL OF MINING INSTITUTE, 2013, 202 : 251 - 253
  • [49] A Novel Multiplicative Fuzzy Regression Function with A Multiplicative Fuzzy Clustering Algorithm
    Pehlivan, Nimet Yapici
    Turksen, Ismail Burhan
    ROMANIAN JOURNAL OF INFORMATION SCIENCE AND TECHNOLOGY, 2021, 24 (01): : 79 - 98
  • [50] Fuzzy membership function for weighting pairs in variographical analysis
    Masoudi, Pedram
    SPATIAL STATISTICS, 2022, 52
12345