A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies

Chemometrics and Intelligent Laboratory Systems

Volumn 89, Issue 2, 2007, Pages 102-115

  Toher, Deirdre ^a,b   Downey, Gerard ^a   Murphy, Thomas Brendan ^b  

^a ASHTOWN FOOD RESEARCH CENTRE   (Ireland)

^b TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Classification; Food authenticity; Model based classification; NIR spectroscopy; Partial least; squares regression

Indexed keywords

ACCURACY; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; FOOD ANALYSIS; MATHEMATICAL ANALYSIS; NEAR INFRARED SPECTROSCOPY; PRIORITY JOURNAL; REGRESSION ANALYSIS; STATISTICAL MODEL;

EID: 34548688233     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2007.06.005     Document Type: Article

References (23)

1. European Commission. Council Directive 2001/110/EC of 20 June 2001, relating to honey (2002)
2. Bensmail H., and Celeux G. Regularized Gaussian discriminant analysis through eigenvalue decomposition. Journal of the American Statistical Association 91 (1996) 1743-1748
3. Fraley C., and Raftery A.E. Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97 (2002) 611-631
4. Banfield J.D., and Raftery A.E. Model-based Gaussian and non-Gaussian clustering. Biometrics 49 (1993) 803-821
5. Fraley C., and Raftery A.E. How many clusters? Which clustering method? - Answers via model-based cluster analysis. Computer Journal 41 (1998) 578-588
6. Dean N., Murphy T.B., and Downey G. Using unlabelled data to up-date classification rules with applications in food authenticity studies. Journal of the Royal Statistical Society. Series C 55 (2006) 1-14
7. Fraley C., and Raftery A.E. MCLUST: software for model-based cluster analysis. Journal of Classification 16 (1999) 297-306
8. C. Fraley, A. E. Raftery, Dept. of Statistics, University of Washington, and R. Wehrens (R-port). mclust: Model-based cluster analysis. R package version 2.1--8 (2002).
9. Hastie T., Tibshirani R., and Friedman J. The Elements of Statistical Learning (2001), Springer
10. Downey G., Fouratier V., and Kelly J.D. Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy. Journal of Near Infrared Spectroscopy 11 (2003) 447-456
11. Barker M., and Rayens W. Partial least squares for discrimination. Journal of Chemometrics 17 (2003) 166-173
12. Ogden R.T. Essential Wavelets for Statistical Applications and Data Analysis (1997), Birkhauser
13. A. Kovac (1997), M. Maechler (1999), and G. Nason (R-port). wavethresh: Software to perform wavelet statistics and transforms., 2004. R package version 2.2-8.
14. Donoho D.L., and Johnstone I.M. Ideal spatial adaptation by wavelet shrinkage. Biometrika 81 3 (1994) 425-455
15. Savitzky A., and Golay M.J.E. Smoothing and differentiation of data by simplified least squares procedures. Analytical Chemistry 36 (1964) 1627-1639
16. Dempster A.P., Laird N.M., and Rubin D.B. Maximum likelihood for incomplete data via the EM algorithm (with discussion). Journal of the Royal Statistical Society. Series B 39 (1977) 1-38
17. R Development Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2004). 3-900051-07-0
18. Celeux G., and Govaert G. Gaussian parsimonious clustering models. Pattern Recognition 28 (1995) 781-793
19. Wold H. Estimation of principal components and related models by iterative least squares. Multivariate Analysis (1966) 391-420
20. Wold H. Nonlinear estimation by iterative least square procedures. Research Papers in Statistics: Festschrift for J. Neyman (1966) 411-444
21. Helland I.S. Some theoretical aspects of partial least squares regression. Chemometrics and Intelligent Laboratory Systems 58 (2001) 97-107
22. Van Der Voet H. Pseudo-degrees of freedom for partial least squares. Journal of Chemometrics 13 (1999) 195-208
23. Brier G.W. Verification of forecasts expressed in terms of probability. Monthy Weather Review 78 (1950) 1-3