K-최근접 이웃 알고리즘 (Korean Wikipedia)

Analysis of information sources in references of the Wikipedia article "K-최근접 이웃 알고리즘" in Korean language version.

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archive.org

doi.org

dx.doi.org

  • Altman, N. S. (1992). “An introduction to kernel and nearest-neighbor nonparametric regression”. 《The American Statistician》 46 (3): 175–185. doi:10.1080/00031305.1992.10475879. 
  • D. Coomans; D.L. Massart (1982). “Alternative k-nearest neighbour rules in supervised pattern recognition : Part 1. k-Nearest neighbour classification by using alternative voting rules”. 《Analytica Chimica Acta136: 15–27. doi:10.1016/S0003-2670(01)95359-0. 
  • Nigsch F, Bender A, van Buuren B, Tissen J, Nigsch E, Mitchell JB (2006). “Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization”. 《Journal of Chemical Information and Modeling》 46 (6): 2412–2422. doi:10.1021/ci060149f. PMID 17125183. 
  • Hall P, Park BU, Samworth RJ (2008). “Choice of neighbor order in nearest-neighbor classification”. 《Annals of Statistics36 (5): 2135–2152. doi:10.1214/07-AOS537. 
  • D. G. Terrell; D. W. Scott (1992). “Variable kernel density estimation”. 《Annals of Statistics20 (3): 1236–1265. doi:10.1214/aos/1176348768. 
  • Cover TM, Hart PE (1967). “Nearest neighbor pattern classification”. 《IEEE Transactions on Information Theory》 13 (1): 21–27. doi:10.1109/TIT.1967.1053964. 
  • Toussaint GT (April 2005). “Geometric proximity graphs for improving nearest neighbor methods in instance-based learning and data mining”. 《International Journal of Computational Geometry and Applications》 15 (2): 101–150. doi:10.1142/S0218195905001622. 
  • Bremner D, Demaine E, Erickson J, Iacono J, Langerman S, Morin P, Toussaint G (2005). “Output-sensitive algorithms for computing nearest-neighbor decision boundaries”. 《Discrete and Computational Geometry》 33 (4): 593–604. doi:10.1007/s00454-004-1152-0. 

le.ac.uk

math.le.ac.uk

nih.gov

ncbi.nlm.nih.gov

  • Nigsch F, Bender A, van Buuren B, Tissen J, Nigsch E, Mitchell JB (2006). “Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization”. 《Journal of Chemical Information and Modeling》 46 (6): 2412–2422. doi:10.1021/ci060149f. PMID 17125183. 

psu.edu

citeseerx.ist.psu.edu