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Volumn 3686, Issue PART I, 2005, Pages 239-247

An optimally weighted fuzzy k-NN algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; MEMBERSHIP FUNCTIONS; PATTERN RECOGNITION;

EID: 27244439865     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11551188_26     Document Type: Conference Paper
Times cited : (18)

References (18)
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    • 27244451810 scopus 로고    scopus 로고
    • An kNN model-based approach and its application in text categorization
    • Guo, G., Wang, H., Bell, D., Bi, Y., and Greer, K: An kNN model-based approach and its application in text categorization. Lecture Notes in Computer Science, 2945 (2004) 559-570.
    • (2004) Lecture Notes in Computer Science , vol.2945 , pp. 559-570
    • Guo, G.1    Wang, H.2    Bell, D.3    Bi, Y.4    Greer, K.5
  • 12
    • 0004580908 scopus 로고    scopus 로고
    • Deriving conditional distribution from ordinary kriging
    • Stanford Center for Reservoir Forcasting
    • Journel, A.G. and Rao, S.E.: Deriving conditional distribution from ordinary kriging. Stanford Center for Reservoir Forcasting, Stanford University Report No. 29 (1996) 25 p.
    • (1996) Stanford University Report No. 29 , vol.29
    • Journel, A.G.1    Rao, S.E.2
  • 14
    • 0036166439 scopus 로고    scopus 로고
    • Tumor classification by partial least squares using microarray gene expression data
    • Nguyen, D.V. and Rocke, D.M.: Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18 (2002) 39-50.
    • (2002) Bioinformatics , vol.18 , pp. 39-50
    • Nguyen, D.V.1    Rocke, D.M.2
  • 16
    • 0030209381 scopus 로고    scopus 로고
    • Point accuracy of a nonparametric method in estimation of forest characteristics with different satellite materials
    • Tokola, T., Pitknen, J., Partinen, S., and Muinonen, E.: Point accuracy of a nonparametric method in estimation of forest characteristics with different satellite materials. International Journal of Remote Sensing, 17 (1996) 2333-2351.
    • (1996) International Journal of Remote Sensing , vol.17 , pp. 2333-2351
    • Tokola, T.1    Pitknen, J.2    Partinen, S.3    Muinonen, E.4
  • 18
    • 4744364173 scopus 로고    scopus 로고
    • Cancer classification and prediction using logistic regression with Bayesian gene selection
    • Zhou, X., Liu, K.Y. and Wong, S.T.C.: Cancer classification and prediction using logistic regression with Bayesian gene selection. J. Biomedical Informatics, 37 (2004) 249-259.
    • (2004) J. Biomedical Informatics , vol.37 , pp. 249-259
    • Zhou, X.1    Liu, K.Y.2    Wong, S.T.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.