Fundamental study of clustering images generated from customer trajectory by using self-organizing maps

被引:0
|
作者
Ohno, Asako [1 ]
Inamoto, Tsutomu [2 ]
Murao, Hajime [3 ]
机构
[1] Department of Life Design, Shijonawate Gakuen Junior College, Hojo, 4-10-25, Daito, Osaka 574-0011, Japan
[2] Graduate School of Law, Kobe University, Rokkodai, 2-1, Nada, Kobe 657-8501, Japan
[3] Graduate School of Intercultural Studies, Kobe University, Tsurukabuto, 1-2-1, Nada, Kobe 657-8501, Japan
来源
ICIC Express Letters | 2010年 / 4卷 / 5 B期
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Sales
引用
收藏
页码:1979 / 1984
相关论文
共 50 条
  • [1] CUSTOMER DEMAND VISUAL CLUSTERING USE OF SELF-ORGANIZING MAPS
    Hui, Du
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2009), VOLS 1 AND 2, 2009, : 1491 - 1498
  • [2] Color clustering using self-organizing maps
    Zhang, Xiao-Yu
    Chen, Jiu-Sheng
    Dong, Jian-Kang
    2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS, 2007, : 986 - +
  • [3] Clustering iOS Executable Using Self-Organizing Maps
    Yu, Fang
    Huang, Shin-yin
    Chiou, Li-ching
    Tsaih, Rua-huan
    2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
  • [4] A clustering method using hierarchical self-organizing maps
    Endo, M
    Ueno, M
    Tanabe, T
    JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2002, 32 (1-2): : 105 - 118
  • [5] A Clustering Method Using Hierarchical Self-Organizing Maps
    Masahiro Endo
    Masahiro Ueno
    Takaya Tanabe
    Journal of VLSI signal processing systems for signal, image and video technology, 2002, 32 : 105 - 118
  • [6] Clustering with a mixture of self-organizing maps
    Wesolkowski, S
    PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 2363 - 2368
  • [7] Segmentation of hyperspectral images using self-organizing maps
    Sanocki, Pawel
    Kawulok, Michal
    Smolka, Bogdan
    Nalepa, Jakub
    REAL-TIME IMAGE PROCESSING AND DEEP LEARNING 2021, 2021, 11736
  • [8] Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat
    Danielsen, Aksel S.
    Johansen, Tor Arne
    Garrett, Joseph L.
    REMOTE SENSING, 2021, 13 (20)
  • [9] Clustering and visualization of bankruptcy trajectory using self-organizing map
    Chen, Ning
    Ribeiro, Bernardete
    Vieira, Armando
    Chen, An
    EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (01) : 385 - 393
  • [10] A study of pixelwise segmentation metrics using clustering of variables and self-organizing maps
    Melki, P.
    Bombrun, L.
    Millet, E.
    Diallo, B.
    El Ghor, H. El Chaoui
    Da Costa, J. -P.
    XXXI INTERNATIONAL HORTICULTURAL CONGRESS, IHC2022: III INTERNATIONAL SYMPOSIUM ON MECHANIZATION, PRECISION HORTICULTURE, AND ROBOTICS: PRECISION AND DIGITAL HORTICULTURE IN FIELD ENVIRONMENTS, 2023, 1360 : 37 - 44