Nonlinear extension of principal component analysis for clustering and spatial differentiation

被引：0
|
作者：
Sudjianto, Agus [1 ]
Wasserman, Gary S. [1 ]
机构：
[1] Ford Motor Co, Dearborn, United States
来源：
IIE Transactions (Institute of Industrial Engineers) | 1996年 / 28卷 / 12期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1023 / 1028
相关论文
共 50 条
  • [41] EPIDEMIOLOGIC ANALYSES OF SPATIAL CLUSTERING OF BOVINE EPHEMERAL FEVER OUTBREAKS .2. PRINCIPAL COMPONENT ANALYSIS
    OGAWA, T
    ISHIBASHI, K
    IMAMURA, K
    KURASHIGE, S
    INOUE, T
    JOURNAL OF VETERINARY MEDICAL SCIENCE, 1994, 56 (02): : 223 - 226
  • [42] Nonlinear principal component analysis - Based on principal curves and neural networks
    Dong, D
    McAvoy, TJ
    COMPUTERS & CHEMICAL ENGINEERING, 1996, 20 (01) : 65 - 78
  • [43] MULTIPLE GROUP PRINCIPAL COMPONENT ANALYSIS AND POPULATION DIFFERENTIATION
    THORPE, RS
    JOURNAL OF ZOOLOGY, 1988, 216 : 37 - 40
  • [44] Analysis of breast cancer progression using principal component analysis and clustering
    G. Alexe
    G. S. Dalgin
    S. Ganesan
    C. DeLisi
    G. Bhanot
    Journal of Biosciences, 2007, 32 : 1027 - 1039
  • [45] Analysis of breast cancer progression using principal component analysis and clustering
    Alexe, G.
    Dalgin, G. S.
    Ganesan, S.
    Delisi, C.
    Bhanot, G.
    JOURNAL OF BIOSCIENCES, 2007, 32 (05) : 1027 - 1039
  • [46] Nonlinear principal component based fuzzy clustering: A case study of lentil genotypes
    Jha, Girish K.
    Mazumder, Chiranjit
    Kumari, Jyoti
    Singh, Gajab
    INDIAN JOURNAL OF GENETICS AND PLANT BREEDING, 2014, 74 (02) : 189 - 196
  • [47] Time Series Clustering Method Based on Principal Component Analysis
    Cao, Danyang
    Tian, Yuan
    Bai, Donghui
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS, 2015, 21 : 888 - 895
  • [48] Clustering and feature selection using sparse principal component analysis
    Ronny Luss
    Alexandre d’Aspremont
    Optimization and Engineering, 2010, 11 : 145 - 157
  • [49] Principal component analysis and effective K-means clustering
    Ding, C
    He, XF
    PROCEEDINGS OF THE FOURTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING, 2004, : 497 - 501
  • [50] Dissimilarity Based Principal Component Analysis Using Fuzzy Clustering
    Sato-Ilic, Mika
    INTEGRATED UNCERTAINTY MANAGEMENT AND APPLICATIONS, 2010, 68 : 453 - 464
12345