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Volumn 3523, Issue II, 2005, Pages 27-34

Data characterization for effective prototype selection

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHARACTERIZATION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; COMPUTER APPLICATIONS; DATA STORAGE EQUIPMENT; SOFTWARE PROTOTYPING;

EID: 25144505553     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11492542_4     Document Type: Conference Paper
Times cited : (57)

References (15)
  • 1
    • 0016127071 scopus 로고
    • Finding prototypes for nearest neighbor classifiers
    • Chang, C.-L.: Finding prototypes for nearest neighbor classifiers, IEEE Trans. on Computers 23 (1974) 1179-1184.
    • (1974) IEEE Trans. on Computers , vol.23 , pp. 1179-1184
    • Chang, C.-L.1
  • 4
    • 0028385080 scopus 로고
    • Minimal consistent subset (MCS) identification for optimal nearest neighbor decision systems design
    • Dasarathy, B.V.: Minimal consistent subset (MCS) identification for optimal nearest neighbor decision systems design, IEEE Trans. on Systems, Man, and Cybernetics 24 (1994) 511-517.
    • (1994) IEEE Trans. on Systems, Man, and Cybernetics , vol.24 , pp. 511-517
    • Dasarathy, B.V.1
  • 6
    • 84931162639 scopus 로고
    • The condensed nearest neighbor rule
    • Hart, P.E.: The condensed nearest neighbor rule, IEEE Trans. on Information Theory 14 (1968) 515-516.
    • (1968) IEEE Trans. on Information Theory , vol.14 , pp. 515-516
    • Hart, P.E.1
  • 9
    • 0037404505 scopus 로고    scopus 로고
    • Enhancing prototype reduction schemes with LVQ3-type algorithms
    • Kim, S.-W., Oommen, B.J.: Enhancing prototype reduction schemes with LVQ3-type algorithms, Pattern Recognition 36 (2003) 1083-1093.
    • (2003) Pattern Recognition , vol.36 , pp. 1083-1093
    • Kim, S.-W.1    Oommen, B.J.2
  • 10
    • 0000935031 scopus 로고
    • Editing for the K-nearest neighbors rule by a genetic algorithm
    • Kuncheva, L.I.: Editing for the K-nearest neighbors rule by a genetic algorithm, Pattern Recognition Letters 16 (1995) 809-814.
    • (1995) Pattern Recognition Letters , vol.16 , pp. 809-814
    • Kuncheva, L.I.1
  • 11
    • 0036887535 scopus 로고    scopus 로고
    • An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering
    • Mollineda, R.A., Fern, F.J., Vidal, E.: An efficient prototype merging strategy for the condensed 1-NN rule through class-conditional hierarchical clustering, Pattern Recognition 35 (2002) 2771-2782.
    • (2002) Pattern Recognition , vol.35 , pp. 2771-2782
    • Mollineda, R.A.1    Fern, F.J.2    Vidal, E.3
  • 13
    • 0016969272 scopus 로고
    • An experiment with the edited nearest neighbor rule
    • Tomek, I.: An experiment with the edited nearest neighbor rule, IEEE Trans. on Systems, Man and Cybernetics 6 (1976) 448-452.
    • (1976) IEEE Trans. on Systems, Man and Cybernetics , vol.6 , pp. 448-452
    • Tomek, I.1
  • 14
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data sets
    • Wilson, D.L.: Asymptotic properties of nearest neighbor rules using edited data sets, IEEE Trans. on Systems, Man and Cybernetics 2 (1972) 408-421.
    • (1972) IEEE Trans. on Systems, Man and Cybernetics , vol.2 , pp. 408-421
    • Wilson, D.L.1
  • 15
    • 0343081513 scopus 로고    scopus 로고
    • Reduction techniques for instance-based learning algorithms
    • Wilson, D.R., Martinez, T.R.: Reduction techniques for instance-based learning algorithms, Machine Learning 38 (2000) 257-286.
    • (2000) Machine Learning , vol.38 , pp. 257-286
    • Wilson, D.R.1    Martinez, T.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.