Classification: Basic Concepts

Comprehensive Chemometrics

Volumn 3, Issue , 2009, Pages 507-515

  Lavine, B K ^a   Rayens, W S ^b  

^a OKLAHOMA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Artificial neural networks; Backpropagation neural networks; Classification; Classification trees; Counterpropagation neural networks; Decision trees; Regularized discriminants; SIMCA; Supervised pattern recognition techniques; Support vector machines

Indexed keywords

EID: 84882475835     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-044452701-1.00022-3     Document Type: Chapter

References (25)

1. Kowalski B.R. Analytical Chemistry as an Information Science. TRACS 1988, 1:71-74.
2. Sharaf M.A., Illman D.L., Kowalski B.R. Chemometrics 1986, John Wiley & Sons, New York, p 184.
3. Jurs P.C., Kowalski B.R., Isenhour T.L. Computerized Learning Machines Applied to Chemical Problems. Molecular Formula Determination From Low Resolution Mass Spectrometry. Anal. Chem. 1969, 41:21-25.
4. McLachlan G.J. Discriminant Analysis and Statistical Pattern Recognition 1992, John Wiley & Sons, New York.
5. Varmuza K. Pattern Recognition in Chemistry 1980, Springer-Verlag, Berlin.
6. Tou J.T., Gonzalez R.C. Pattern Recognition Principles 1974, Addison-Wesley, Reading, MA.
7. James M. Classification 1985, John Wiley & Sons, New York.
8. Cover T.M., Hart P.E. Nearest Neighbor Pattern Classification. IEEE Trans. Inf. Theory 1967, IT-13:21-35.
9. Isenhour T.L., Jurs P.C. Chemical Applications of Machine Intelligence. Anal. Chem. 1971, 43:20A-35A.
10. Albano C., Dunn W., Edlund U., Johansson E., Norden B., Sjostrom M., Wold S. Four Levels of Pattern Recognition. Anal. Chim. Acta 1978, 103:429-443.
11. Lavine B.K., Workman J. Anal. Chem. 2006, 78(12):4137-4145.
12. Multivariate Pattern Recognition in Chemometrics 1992, Elsevier, Amsterdam. R.G. Brereton (Ed.).
13. Kowalski B.R., Wold S. Pattern Recognition in Chemistry. Classification, Pattern Recognition and Reduction of Dimensionality 1982, North-Holland, Amsterdam. P.R. Krishnaiah, L.N. Kanal (Eds.).
14. Kesmir C., Sondergaard I., Jensen K. From Image Processing to Classification: II. Classification of Electrophoretic Patterns Using Self-Organizing Feature Maps and Feed-Forward Neural Networks. Electrophoresis 1995, 16(6):927-933.
15. Karakitsos P., Stergiou E.B., Pouliakis A., Tzivras M., Archimandritis A., Liossi A.I., Kyrkou K. Potential of the Back Propagation Neural Network in the Discrimination of Benign From Malignant Gastric Cells. Anal. Quant. Cytol. Histol. 1996, 18(3):245-250.
16. Nilsson T., Bassani M.R., Larsen T.O., Montanarella L. Classification of Species in the Genus Penicillium by Curie Point Pyrolysis/Mass Spectrometry Followed by Multivariate Analysis and Artificial Neural Networks. J. Mass Spectrom. 1996, 31(12):1422-1428.
17. Cheng, C.; Tian, Y.; Yumei, Z. Classification of FTIR Cancer Data Using Wavelets and BPNN. Proc. SPIE 2008, 6826 (Optics in Health Care and Biomedical Optics III), 682633/1-682633/8.
18. Myles A.J., Brown S.D. Decision Pathway Modeling. J. Chem. 2004, 18(6):286-293.
19. Vapnik V. Statistical Learning Theory 1998, John Wiley & Sons, New York.
20. Zomer S., Brereton R.G., Carter J.F., Eckers C. Support Vector Machines for the Discrimination of Analytical Chemical Data: Application to the Determination of Tablet Production by Pyrolysis-Gas Chromatography-Mass Spectrometry. Analyst 2004, 129(2):175-181.
21. Zomer S., Del Nogal Sanchez S.M., Brereton R.G., Perez Pavlon J.L. Active Learning Support Vector Machines for Optimal Sample Selection in Classification. J. Chem. 2004, 18(6):294-305.
22. Forshed J., Idborg H., Jacobson S.P. Evaluation of Different Techniques for Data Fusion of LC/MS and 1H-NMR. Chemolab 2007, 85(1):102-109.
23. Ramos P.M., Ruisanchez I. Data Fusion and Dual-Domain Classification Analysis of Pigments Studied in Works of Art. Anal. Chim. Acta 2006, 558(1-2):274-282.
24. Ramos P.M., Callao M.P., Ruisanchez I. Data Fusion in the Wavelet Domain by Means of Fuzzy Aggregation Connectives. Anal. Chim. Acta 2007, 584(2):360-369.
25. Woody N.A., Brown S.D. Selecting Wavelet Transform Scales for Multivariate Classification. J. Chem. 2007, 21(7-9):357-363.