메뉴 건너뛰기




Volumn 37, Issue 2, 2005, Pages 211-231

Similarity-based data reduction techniques

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; DATA STRUCTURES; MATHEMATICAL MODELS; PATTERN RECOGNITION;

EID: 18344368209     PISSN: 1443458X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (21)
  • 2
    • 0000217085 scopus 로고
    • Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
    • APA, D.W. (1992): Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms, International Journal of Man-Machine Studies, 36: 267-287.
    • (1992) International Journal of Man-machine Studies , vol.36 , pp. 267-287
    • Apa, D.W.1
  • 5
    • 0016127071 scopus 로고
    • Finding prototypes for nearest neighbour classifiers
    • CHANG, C.L. (1974): Finding prototypes for nearest neighbour classifiers, IEEE Transactions on Computers, 23(11): 1179-1184.
    • (1974) IEEE Transactions on Computers , vol.23 , Issue.11 , pp. 1179-1184
    • Chang, C.L.1
  • 11
    • 0031999908 scopus 로고    scopus 로고
    • Nearest prototype classification: Clustering, generic algorithm, or random search?
    • KUNCHEVA, L.I. and BEZDEK, J.C. (1998): Nearest prototype classification: Clustering, generic algorithm, or random search? IEEE Trans. System Man Cybernet, 28: 160-164.
    • (1998) IEEE Trans. System Man Cybernet , vol.28 , pp. 160-164
    • Kuncheva, L.I.1    Bezdek, J.C.2
  • 12
    • 0036887535 scopus 로고    scopus 로고
    • An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering
    • MOLLINEDA, R.A., FERRI, F.J. and VIDAL, E. (2002): An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering, Pattern Recognition 35: 2771-2782.
    • (2002) Pattern Recognition , vol.35 , pp. 2771-2782
    • Mollineda, R.A.1    Ferri, F.J.2    Vidal, E.3
  • 14
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • SEBASTIANI, F. (2002): Machine learning in automated text categorization. In ACM Computing Surveys, 34(1): 1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 16
    • 0016969272 scopus 로고
    • An experiment with the edited nearest-neighbour rule
    • TOMEK, A. (1976): An experiment with the edited nearest-neighbour rule. IEEE Transactions on Systems, Man, and Cybernetics, 6(6): 448-452.
    • (1976) IEEE Transactions on Systems, Man, and Cybernetics , vol.6 , Issue.6 , pp. 448-452
    • Tomek, A.1
  • 18
    • 0002564447 scopus 로고
    • An experimental comparison of nearest-neighbour and nearest- hyperrectangle algorithms
    • WETTSCHERECK, D. and THOMAS, G.D. (1995): An experimental comparison of nearest-neighbour and nearest-hyperrectangle algorithms. Machine Learning, 19(1): 5-28.
    • (1995) Machine Learning , vol.19 , Issue.1 , pp. 5-28
    • Wettschereck, D.1    Thomas, G.D.2
  • 19
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbour rules using edited data
    • WILSON, D.L. (1972): Asymptotic properties of nearest neighbour rules using edited data, IEEE Transactions on Systems, Man, and Cybernetics, 2(3): 408-421.
    • (1972) IEEE Transactions on Systems, Man, and Cybernetics , vol.2 , Issue.3 , pp. 408-421
    • Wilson, D.L.1
  • 21
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • WILSON, D.R. and MARTINEZ, T. R. (2000): Reduction techniques for instance-based learning algorithms, Machine Learning, 38(3): 257-286.
    • (2000) Machine Learning , vol.38 , Issue.3 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.