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Volumn , Issue , 2008, Pages 451-456

Generalized matrix learning vector quantizer for the analysis of spectral data

Author keywords

Band matrices; GMLVQ; Learning vector quantization; Metric adaptation; Spectral data

Indexed keywords

FOOD CHEMISTRY; GENERALIZED MATRIX; GMLVQ; LEARNING VECTOR QUANTIZATION; LEARNING VECTORS; METRIC ADAPTATION; SATELLITE IMAGE DATAS; SPECTRAL DATA;

EID: 84887004479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (13)
  • 1
    • 70350241717 scopus 로고    scopus 로고
    • Matrix learning in learning vector quantization. Technical report
    • Clausthal University of Technology
    • M. Biehl, B. Hammer, and P. Schneider. Matrix learning in learning vector quantization. Technical report, Department of Informatics, Clausthal University of Technology, 2006.
    • (2006) Department of Informatics
    • Biehl, M.1    Hammer, B.2    Schneider, P.3
  • 3
    • 12844250052 scopus 로고    scopus 로고
    • Supervised neural gas with general similarity measure
    • February
    • B. Hammer, M. Strickert, and T. Villmann. Supervised neural gas with general similarity measure. Neural Processing Letters, 21(1):21-44, February 2005.
    • (2005) Neural Processing Letters , vol.21 , Issue.1 , pp. 21-44
    • Hammer, B.1    Strickert, M.2    Villmann, T.3
  • 4
    • 12844250052 scopus 로고    scopus 로고
    • Supervised neural gas with general similarity measure
    • B. Hammer, M. Strickert, and T. Villmann. Supervised neural gas with general similarity measure. Neural Processing Letters, 21(1):21-44, 2005.
    • (2005) Neural Processing Letters , vol.21 , Issue.1 , pp. 21-44
    • Hammer, B.1    Strickert, M.2    Villmann, T.3
  • 5
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • B. Hammer and T. Villmann. Generalized relevance learning vector quantization. Neural Networks, 15(8-9):1059-1068, 2002.
    • (2002) Neural Networks , vol.15 , Issue.8-9 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2
  • 8
    • 85156210800 scopus 로고    scopus 로고
    • Generalized learning vector quantization
    • In M. C. Mozer D. S. Touretzky and M. E. Hasselmo, editors, Cambridge, MA, USA, MIT Press
    • A. Sato and K. Yamada. Generalized learning vector quantization. In M. C. Mozer D. S. Touretzky and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems 8. Proceedings of the 1995 Conference, pages 423-429, Cambridge, MA, USA, 1996. MIT Press.
    • (1996) Advances In Neural Information Processing Systems 8. Proceedings of the 1995 Conference , pp. 423-429
    • Sato, A.1    Yamada, K.2
  • 12
    • 32544451159 scopus 로고    scopus 로고
    • Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis
    • M. Strickert, W. Weschke N. Sreenivasulu, T. Villmann, and B. Hammer. Generalized relevance LVQ (GRLVQ) with correlation measures for gene expression analysis. Neurocomputing, 69(7-9):651-659, 2006.
    • (2006) Neurocomputing , vol.69 , Issue.7-9 , pp. 651-659
    • Strickert, M.1    Sreenivasulu, W.W.N.2    Villmann, T.3    Hammer, B.4
  • 13
    • 33745684650 scopus 로고    scopus 로고
    • Comparison of relevance learning vector quantization with other metric adaptive classification methods
    • T. Villmann, F.-M. Schleif, and B. Hammer. Comparison of relevance learning vector quantization with other metric adaptive classification methods. Neural Networks, 19:610-622, 2006.
    • (2006) Neural Networks , vol.19 , pp. 610-622
    • Villmann, T.1    Schleif, F.-M.2    Hammer, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.