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Volumn 4690 LNCS, Issue , 2007, Pages 66-82

Adaptive k-nearest-neighbor classification using a dynamic number of nearest neighbors

Author keywords

kNN classification; Multidimensional data; Performance

Indexed keywords

COMPUTATIONAL METHODS; DECISION THEORY; HEURISTIC ALGORITHMS;

EID: 38049045180     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75185-4_7     Document Type: Conference Paper
Times cited : (40)

References (13)
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    • Atkeson, C.1    Schaal, S.2
  • 5
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    • The k-nearest neighbour join: Turbo charging the kdd process
    • Boehm, C. Krebs, F.: The k-nearest neighbour join: Turbo charging the kdd process. Knowledge and Information Systems 6(6), 728-749 (2004)
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    • Boehm, C.1    Krebs, F.2
  • 6
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    • Enhanced nearest neighbour search on the r-tree
    • Cheung, K.L., Fu, A.: Enhanced nearest neighbour search on the r-tree. ACM SIGMOD Record 27(3), 16-21 (1998)
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    • Cheung, K.L.1    Fu, A.2
  • 7
    • 33645967320 scopus 로고
    • Nearest Neighbor Norms: NN Pattern Classification Techniques
    • Los Alamitos
    • Dasarathy, B.V.: Nearest Neighbor Norms: NN Pattern Classification Techniques. IEEE Computer Society Press, Los Alamitos (1991)
    • (1991) IEEE Computer Society Press
    • Dasarathy, B.V.1
  • 8
    • 0026120634 scopus 로고
    • Letter recognition using holland-style adaptive classifiers
    • Frey, P.W., Slate, D.J.: Letter recognition using holland-style adaptive classifiers. Machine Learning 6(2), 161-182 (1991)
    • (1991) Machine Learning , vol.6 , Issue.2 , pp. 161-182
    • Frey, P.W.1    Slate, D.J.2
  • 9
    • 0021615874 scopus 로고
    • R-trees: A dynamic index structure for special searching
    • ACM Press, New York
    • Guttman, A.: R-trees: A dynamic index structure for special searching. In: Proceedings of the ACM SIGMOD Conference, pp. 47-57. ACM Press, New York (1984)
    • (1984) Proceedings of the ACM SIGMOD Conference , pp. 47-57
    • Guttman, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.