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Volumn 3, Issue , 2006, Pages 421-424

Local variance driven self-organization for unsupervised clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATABASE SYSTEMS; LEARNING SYSTEMS; RAPID PROTOTYPING; SELF ORGANIZING MAPS;

EID: 34147152217     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.772     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 1
    • 0033640646 scopus 로고    scopus 로고
    • Statistical Pattern Recognition: A Review
    • A.K. Jain, R.P.W. Duin and J. Mao, "Statistical Pattern Recognition: A Review", IEEE Transactions on PAMI, 2000, Vol 22(1), pp. 4-37
    • (2000) IEEE Transactions on PAMI , vol.22 , Issue.1 , pp. 4-37
    • Jain, A.K.1    Duin, R.P.W.2    Mao, J.3
  • 2
    • 27744554375 scopus 로고    scopus 로고
    • Refining competition in the self-organising tree map for unsupervised biofilm segmentation
    • M.J. Kyan, L. Guan and S. Liss, "Refining competition in the self-organising tree map for unsupervised biofilm segmentation", Neural Networks, 2005 Vol 18(5-6), pp 850-860
    • (2005) Neural Networks , vol.18 , Issue.5-6 , pp. 850-860
    • Kyan, M.J.1    Guan, L.2    Liss, S.3
  • 4
    • 85135470835 scopus 로고
    • A growing neural gas network learns topologies
    • G. Tesauro, D. S. Touretzky, and T. K. Leen, MIT Press, Cambridge MA
    • B. Fritzke, "A growing neural gas network learns topologies." In G. Tesauro, D. S. Touretzky, and T. K. Leen, Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995a, pp 625-632.
    • (1995) Advances in Neural Information Processing Systems 7 , pp. 625-632
    • Fritzke, B.1
  • 5
    • 0001132486 scopus 로고
    • Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
    • Amsterdam
    • T.M. Martinetz, "Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps" In Proc. of Int. Conf. on Artificial Neural Networks (ICANN), Amsterdam 1993 427-434.
    • (1993) Proc. of Int. Conf. on Artificial Neural Networks (ICANN) , pp. 427-434
    • Martinetz, T.M.1
  • 6
    • 0020464111 scopus 로고    scopus 로고
    • A simplified neuron model as a principal component analyzer
    • Springer
    • E. Oja, "A simplified neuron model as a principal component analyzer", Journal of Mathematical Biology, Springer, vol.15, pp. 267-273
    • Journal of Mathematical Biology , vol.15 , pp. 267-273
    • Oja, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.