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Volumn 1, Issue 2, 1998, Pages 79-90

A Monte Carlo evaluation of the moving method, K-means and two self-organising neural networks

Author keywords

Cluster analysis; K means; Monte Carlo; Moving method; Unsupervised learning

Indexed keywords


EID: 27544458737     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01237937     Document Type: Article
Times cited : (2)

References (21)
  • 3
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency versus interpretability of classifications
    • Forgy, E.W. Cluster analysis of multivariate data: Efficiency versus interpretability of classifications. Biometics 1965; 21(3): 768.
    • (1965) Biometics , vol.21 , Issue.3 , pp. 768
    • Forgy, E.W.1
  • 5
    • 0024475950 scopus 로고
    • Multi-dimensional data clustering utilising hybrid search strategies
    • Ismail, M.A. and Kamel, M.S. Multi-dimensional data clustering utilising hybrid search strategies. Pattern Recognition 1989; 22(1): 75-89.
    • (1989) Pattern Recognition , vol.22 , Issue.1 , pp. 75-89
    • Ismail, M.A.1    Kamel, M.S.2
  • 6
    • 0012765998 scopus 로고
    • An algorithm to maximise the agreement between partitions
    • Messatfa, H. An algorithm to maximise the agreement between partitions. J Classification 1992; 9: 5-15.
    • (1992) J Classification , vol.9 , pp. 5-15
    • Messatfa, H.1
  • 7
    • 0030355301 scopus 로고    scopus 로고
    • The weighted sum of split and diameter clustering
    • Wang, Y., Yan, H. and Sriskandarajah, C. The weighted sum of split and diameter clustering. J Classification 1996; 13: 231-248.
    • (1996) J Classification , vol.13 , pp. 231-248
    • Wang, Y.1    Yan, H.2    Sriskandarajah, C.3
  • 10
    • 0020068152 scopus 로고
    • Self-organised formation of topologically correct feature maps
    • Kohonen, T. Self-organised formation of topologically correct feature maps. Biological Cybernetics. 1982; 43: 59-69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 11
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • Rumelhart, D.E. and McClelland, J.L. (eds.), MIT Press
    • Rumelhart, D.E. and Zipser, D. Feature discovery by competitive learning. In: Rumelhart, D.E. and McClelland, J.L. (eds.), Parallel Distributed Processing, Vol. 1. MIT Press, 1986; 151-193.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 151-193
    • Rumelhart, D.E.1    Zipser, D.2
  • 13
    • 3943086115 scopus 로고
    • Statistical aspects of neural networks
    • Sandberg, Denmark. Chapman & Hall
    • Ripley, B.D. Statistical aspects of neural networks (pre-print). Proc Séminaire Européen de Statistique, Sandberg, Denmark. Chapman & Hall, 1993.
    • (1993) Proc Séminaire Européen de Statistique
    • Ripley, B.D.1
  • 14
    • 84972539015 scopus 로고
    • Neural networks: A review from a statistical perspective
    • Chen, B. and Titteringdon, D.M. Neural networks: A review from a statistical perspective. Statistical Science 1994; 9(1): 2-54.
    • (1994) Statistical Science , vol.9 , Issue.1 , pp. 2-54
    • Chen, B.1    Titteringdon, D.M.2
  • 15
    • 21844508468 scopus 로고
    • The Kohonen self-organising map method: An assessment
    • Murtagh, F. and Hernández-Pajares, M. The Kohonen self-organising map method: An assessment. J Classification 1995; 12: 165-190.
    • (1995) J Classification , vol.12 , pp. 165-190
    • Murtagh, F.1    Hernández-Pajares, M.2
  • 17
    • 21844522039 scopus 로고
    • A study of the classification capabilities of neural networks using unsupervised learning: A comparison with k-means clustering
    • Balakrishnan, P.V., Cooper, M.C., Jacob, V.S. and Lewis, P.A. A study of the classification capabilities of neural networks using unsupervised learning: A comparison with k-means clustering. Psychometrika 1994; 59(4): 509-524.
    • (1994) Psychometrika , vol.59 , Issue.4 , pp. 509-524
    • Balakrishnan, P.V.1    Cooper, M.C.2    Jacob, V.S.3    Lewis, P.A.4
  • 18
    • 0030572650 scopus 로고    scopus 로고
    • Comparative performance of the FSCL neural network and k-means for market segmentation
    • Balakrishnan, P.V., Cooper, M.C., Jacob, V.S. and Lewis, P.A. Comparative performance of the FSCL neural network and k-means for market segmentation. Euro J Operational Research 1996; 93(2): 346-357.
    • (1996) Euro J Operational Research , vol.93 , Issue.2 , pp. 346-357
    • Balakrishnan, P.V.1    Cooper, M.C.2    Jacob, V.S.3    Lewis, P.A.4
  • 20
    • 0026304372 scopus 로고
    • A new clustering algorithm with multiple runs of iterative procedures
    • Zhang, Q. and Boyle, R.D. A new clustering algorithm with multiple runs of iterative procedures. Pattern Recognition 1991; 24(9): 835-848.
    • (1991) Pattern Recognition , vol.24 , Issue.9 , pp. 835-848
    • Zhang, Q.1    Boyle, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.