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Volumn 33, Issue 3, 2000, Pages 521-528

A new edited k-nearest neighbor rule in the pattern classification problem

Author keywords

Edited reference set; k Nearest neighbor rule; Number of samples misclassified; Pattern classification problems; Wilson's edited k nearest neighbor rule

Indexed keywords

PROBLEM SOLVING; SET THEORY;

EID: 0033883192     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00068-0     Document Type: Article
Times cited : (63)

References (11)
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    • D.L. Wilson, Asymptotic properties of nearest neighbor rules using edited data, IEEE Trans. System Man Cybernet. 2 (1972) 408-421.
    • (1972) IEEE Trans. System Man Cybernet. , vol.2 , pp. 408-421
    • Wilson, D.L.1
  • 5
    • 0031168619 scopus 로고    scopus 로고
    • Fitness functions in editing k-NN reference set by genetic algorithms
    • L.I. Kuncheva, Fitness functions in editing k-NN reference set by genetic algorithms, Pattern Recognition 30 (1997) 1041-1049.
    • (1997) Pattern Recognition , vol.30 , pp. 1041-1049
    • Kuncheva, L.I.1
  • 7
    • 0028385080 scopus 로고
    • Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems design
    • B.V. Dasarathy, Minimal consistent set (MCS) identification for optimal nearest neighbor decision systems design, IEEE Trans. System Man Cybernet. 24 (1994) 511-517.
    • (1994) IEEE Trans. System Man Cybernet. , vol.24 , pp. 511-517
    • Dasarathy, B.V.1
  • 9
    • 0002263953 scopus 로고
    • The irises of the Gaspe peninsula
    • E. Anderson, The irises of the Gaspe peninsula, Bull. Am. Iris Soc. 59 (1935) 2-5.
    • (1935) Bull. Am. Iris Soc. , vol.59 , pp. 2-5
    • Anderson, E.1
  • 10
    • 0028486134 scopus 로고
    • Self-organizing neural-network-based pattern clustering method with fuzzy outputs
    • D.T. Pham, E.J.B. Corrochano, Self-organizing neural-network-based pattern clustering method with fuzzy outputs, Pattern Recognition 27 (1994) 1103-1110.
    • (1994) Pattern Recognition , vol.27 , pp. 1103-1110
    • Pham, D.T.1    Corrochano, E.J.B.2
  • 11
    • 0027539938 scopus 로고
    • Prototype optimization for nearest neighbor classifiers using a two-layer perceptron
    • H. Yan, Prototype optimization for nearest neighbor classifiers using a two-layer perceptron, Pattern Recognition 26 (1993) 317-324.
    • (1993) Pattern Recognition , vol.26 , pp. 317-324
    • Yan, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.