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Volumn , Issue , 2006, Pages 28-33

Selection of clusters number and features subset during a two-levels clustering task

Author keywords

Clustering; Feature selection; Model selection; Self organizing maps

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; FLOW OF SOLIDS; INFORMATION MANAGEMENT; OPTICAL PROJECTORS; SELF ORGANIZING MAPS; SOFT COMPUTING;

EID: 47349132601     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 2
    • 56149086592 scopus 로고    scopus 로고
    • G. Saporta. Probabilités, analyse des données et statistique. Editions Technip, Paris, France, 1990.
    • G. Saporta. Probabilités, analyse des données et statistique. Editions Technip, Paris, France, 1990.
  • 3
    • 0033751612 scopus 로고    scopus 로고
    • Unsupervised feature evaluation: A neuro-fuzzy approach
    • S. K. Pal, R. K. De, and J. Basak. Unsupervised feature evaluation: A neuro-fuzzy approach. IEEE Transactions on Neural Networks, 11(2):366-376, 2000.
    • (2000) IEEE Transactions on Neural Networks , vol.11 , Issue.2 , pp. 366-376
    • Pal, S.K.1    De, R.K.2    Basak, J.3
  • 5
    • 0034187784 scopus 로고    scopus 로고
    • Clustering of the self-organizing map
    • May
    • J. Vesanto and E. Alhoniemi. Clustering of the self-organizing map. IEEE-NN, 11(3):586-600, May 2000.
    • (2000) IEEE-NN , vol.11 , Issue.3 , pp. 586-600
    • Vesanto, J.1    Alhoniemi, E.2
  • 7
    • 56149103854 scopus 로고    scopus 로고
    • J-C. Fort, P. Letrémy, and M. Cottrell. Advantages and drawbacks of the batch kohonen algorithm. In M.Verleysen Ed., editor, ESANN'2002 Proceedings, European Symposium on Artificial Neural Networks, Bruges (Belgium), pages 223-230, Bruxelles, Belgium, 2002. Editions D Facto.
    • J-C. Fort, P. Letrémy, and M. Cottrell. Advantages and drawbacks of the batch kohonen algorithm. In M.Verleysen Ed., editor, ESANN'2002 Proceedings, European Symposium on Artificial Neural Networks, Bruges (Belgium), pages 223-230, Bruxelles, Belgium, 2002. Editions D Facto.
  • 8
    • 0003410791 scopus 로고    scopus 로고
    • Springer-Verlag New York, Inc, Secaucus, NJ, USA
    • T. Kohonen. Self-Organizing Maps. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2001.
    • (2001) Self-Organizing Maps
    • Kohonen, T.1
  • 10
    • 0029288718 scopus 로고
    • Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering
    • April
    • F. Murtagh. Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering. Pattern Recognition Letters, 16(4):399-408, April 1995.
    • (1995) Pattern Recognition Letters , vol.16 , Issue.4 , pp. 399-408
    • Murtagh, F.1
  • 11
    • 84890308263 scopus 로고    scopus 로고
    • U*F clustering: A new performant cluster-mining method based on segmentation of Self-Organizing Maps
    • Paris 1 Panthéon-Sorbonne University, France, September
    • F. Moutarde and A. Ultsch. U*F clustering: a new performant cluster-mining method based on segmentation of Self-Organizing Maps. In Proceedings of the 5th Workshop On Self-Organizing Maps (WSOM'05), pages 25-32, Paris 1 Panthéon-Sorbonne University, France, September 2005.
    • (2005) Proceedings of the 5th Workshop On Self-Organizing Maps (WSOM'05) , pp. 25-32
    • Moutarde, F.1    Ultsch, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.