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Volumn 4, Issue , 2005, Pages 2389-2393

Input and data selection applied to heart disease diagnosis

Author keywords

Attributes selection; Cardiology; Clustering; Coronary obstruction; Diagnosis; Learning vector quantization; LVQ; Neural networks; Pattern classification; Training data selection

Indexed keywords

ATTRIBUTES SELECTION; CORONARY OBSTRUCTION; CORONARY VESSELS; HEART DISEASE; LEARNING VECTOR QUANTIZATION (LVQ); TRAINING DATA SELECTION;

EID: 33750118227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556276     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • Gersho, A.1
  • 2
    • 0020100081 scopus 로고
    • Asymptotic quantization error of continuous signals and the quantization dimension
    • P. Zador "Asymptotic quantization error of continuous signals and the quantization dimension, " IEEE trans. on information theory IT-28, pp 139- 149, 1982.
    • (1982) IEEE Trans. on Information Theory , vol.IT-28 , pp. 139-149
    • Zador, P.1
  • 4
    • 0023855839 scopus 로고
    • An introduction to neural computing
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    • (1988) Neural Networks , vol.1 , pp. 3-16
    • Kohonen, T.1
  • 7
    • 85156210800 scopus 로고
    • Generalized learning vector quantization
    • G. Tesauro, D. Touretzky and T.Leon (Eds.), MIT Press
    • Sato, A.S. & Yamada, K. "Generalized learning vector quantization," In G. Tesauro, D. Touretzky and T.Leon (Eds.), Advances in neural information processing systems, Vol 7, p 423-429, MIT Press, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 423-429
    • Sato, A.S.1    Yamada, K.2
  • 12
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • Hammer, B. & Villmann T. Generalized Relevance Learning Vector Quantization. Neural Networks, 15, p 1059-1068, 2002.
    • (2002) Neural Networks , vol.15 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.