Bagged k-nearest neighbours classification with uncertainty in the variables

Analytica Chimica Acta

Volumn 646, Issue 1-2, 2009, Pages 62-68

  Villa Medina, Joe L ^a   Boqué, Ricard ^a   Ferré, Joan ^a  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

Bootstrap; Classification; Nearest neighbours; Reliability; Uncertainty

Indexed keywords

ANALYTICAL RESULTS; BOOTSTRAP; BOOTSTRAP METHOD; BOOTSTRAP TRAINING; CLASSIFICATION; CLASSIFICATION ERROR RATE; DATA SETS; K NEAREST NEIGHBOURS (K-NN); K-NEAREST NEIGHBOURS; NEAREST NEIGHBOURS; SECOND LEVEL; SUPERVISED CLASSIFICATION; TRAINING OBJECTS; UNCERTAINTY; UNKNOWN OBJECTS;

WINE;

RELIABILITY;

ANALYTICAL ERROR; ARTICLE; BOOTSTRAPPING; CONTROLLED STUDY; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; RELIABILITY; UNCERTAINTY;

EID: 66549086120     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2009.05.016     Document Type: Article

References (24)

1. S.L.R. Ellison, M. Rosslein, A. Williams, EURACHEM/CITAC Guide CG 4: Quantifying Uncertainty in Analytical Measurement, 2nd ed., 2000.
2. Ramsey M. J. Anal. At. Spectrom. 13 (1998) 97-104
3. De Bièvre P. Accredit. Qual. Assur. 2 (1997) 269
4. Gurov S.I. Comput. Math. Model. 15 (2004) 365-376
5. Webb A.R. Statistical Pattern Recognition (2002), John Wiley and Sons Ltd., New York pp. 252, 258
6. Efron B. Ann. Stat. 7 (1979) 1-26
7. Efron B., and Tibshiran R.J. An Introduction to the Bootstrap (1993), Chapman & Hall, New York
8. Cover T., and Hart P.E. IEEE Trans. Info. Theory 13 (1967) 21-27
9. Duda R.O., Hart P.E., and Stock D.G. Pattern Classification (2001), John Wiley and Sons Inc., New York
10. Villa J.L., Boqué R., and Ferré J. Chemometr. Intell. Lab. Syst. 94 (2008) 51-59
11. Holmes C.C., and Adams N.M. J. R. Stat. Soc. B 64 (2002) 295-306
12. Hamamoto Y., Uchimura S., and Tomita S. IEEE Trans. PAMI 19 (1997) 73-79
13. Brieman L. Mach. Learn. 24 (1996) 123-140
14. Mooney C.Z., and Duval R.D. Bootstrapping: A Nonparametric Approach to Statistical Inference (1993), Sage, Newbury Park, CA
15. Hinkley D. Bootstrap Methods and Their Application (1997), Cambridge University Press, Cambridge p. 575
16. Wehrens R., Putter H., and Buydens M.C. Chemometr. Intell. Lab. Syst. 54 (2000) 35-52
17. Hinkley D. J. R. Stat. Soc. B 50 (1988) 321-337
18. Henderson A.R. Clin. Chim. Acta 359 (2005) 1-26
19. De la Rosa J.I., and Fleury G.A. IEEE Trans. Instrum. Meas. 55 (2006) 820-827
20. Forina M., Armanino C., Castino M., and Ubigli M. Vitis 25 (1986) 189-201
21. A. Asuncion, D.J. Newman, UCI Machine Learning Repository, http://archive.ics.uci.edu/ml/datasets/Wine.
22. ISO/IEC, 17025. General Requirements for the Competence of Testing and Calibration Laboratories (2005), International Organization for Standardization
23. Horwitz W., and Albert R. J. AOAC Int. 89 (2006) 1095-1109
24. Massart D.L., Vandeginste B.M.G., Buydens L.M.C., De Jong S., Lewi P.J., and Smeyers-Verbeke J. Handbook of Chemometrics and Qualimetrics: Part A (1997), Elsevier, Amsterdam