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Volumn , Issue , 2010, Pages 93-98

Generalized functional relevance learning vector quantization

Author keywords

Clustering; Functional relevance learning; LVQ; Metric adaption

Indexed keywords

CLASSIFICATION TASKS; CLUSTERING; FUNCTIONAL RELEVANCE; FUNCTIONAL REPRESENTATION; GENERALIZED LEARNING VECTOR QUANTIZATION; LVQ; METRIC ADAPTIONS; PROTOTYPE-BASED CLASSIFICATIONS;

EID: 84887044390     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 3
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • Barbara Hammer and Thomas Villmann. Generalized relevance learning vector quantization. Neural Networks, 15:1059-1068, 2002.
    • (2002) Neural Networks , vol.15 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2
  • 4
    • 34047276317 scopus 로고
    • The handbook of brain theory and neural networks, Cambridge, MA: MIT Press
    • T. Kohonen. Learning vector quantization. The handbook of brain theory and neural networks, Cambridge, 1995. MA: MIT Press.
    • (1995) Learning Vector Quantization
    • Kohonen, T.1
  • 6
    • 32544451159 scopus 로고    scopus 로고
    • Generalized relevance lvq (grlvq) with correlation measures for gene expression analysis
    • March
    • M. Strickert, U. Seiffert, N. Sreenivasulu, W. Weschke, T. Villmann, and B. Hammer. Generalized relevance lvq (grlvq) with correlation measures for gene expression analysis. Neurocomput., 69:651-659, March 2006.
    • (2006) Neurocomput , vol.69 , pp. 651-659
    • Strickert, M.1    Seiffert, U.2    Sreenivasulu, N.3    Weschke, W.4    Villmann, T.5    Hammer, B.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.