References
- Fearn, T. (2000), On orthogonal signal correction, Chemometrics and Intelligent Laboratory Systems, 50, 47-52. https://doi.org/10.1016/S0169-7439(99)00045-3
- Jang, W. and Chang, W. (2006), A wavelet based feature selection method to improve classification of large signal-type data, Journal of the Korea Institute of Industrial Engineers, 32, 133-140.
- Jung, Y. S., Lee, W. I., and Lee, W. M. (2004), Instrumental analysis, basic and experiment, Info-Tech Corea, Seoul, Korea.
- Kher, A., Mulholland, M., Green, M., and Reedy, B. (2006), Forensic classification of ballpoint pen inks using high performance liquid chromatography and infrared spectroscopy with principal components analysis and linear discriminant analysis, Vibrational Spectroscopy, 40, 270-277. https://doi.org/10.1016/j.vibspec.2005.11.002
- Kim, S. B., Chen, V. C. P., Park, Y., Ziegler, T. R., and Jones, D. P. (2008), Controlling the false discovery rate for feature selection in high-resolution NMR spectra, Statistical Analysis and Data Mining, 1, 57-66. https://doi.org/10.1002/sam.10005
- Kutner, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2005), Applied Linear Statistical Models(5th edition), McGraw-Hill/Irwin, New York, USA.
- Luypaert, J., Heuerding, S., Massart, D. L., and Vander, Y. V. (2006), Direct orthogonal signal correction as data pretreatment in the classification of clinical lots of creams from near infrared spectroscopy data, Analytica Chimica Acta, 582, 191-189
- Park, Y., Kim, S. B., Wang, B, Blanco, R. A., Le, N.-A., Wu, S., Accardi, C. J., Alexander, R. W., Ziegler, T. R., and Jones, D. P. (2009), Individual variation in macronutrient regulation measured by proton magnetic resonance spectroscopy of human plasma, AmJ Physiol Regul Integr Comp Physiol, 297, 202-209. https://doi.org/10.1152/ajpregu.90757.2008
- Saferstein, R. (2005), An Introduction to Forensic Science, Hanrimwon, Seoul, Korea.
- Saiz-Abajo, M. J., Gonzalez-Saiz, J. M., and Pizarro, C. (2005), Orthogonal signal correction applied to the classification of wine and molasses vinegar samples by near-infrared spectroscopy. Feasibility study for the detection and quantification of adulterated vinegar samples, Anal Bioanal. Chem, 382(2), 412-420. https://doi.org/10.1007/s00216-005-3148-x
- Shmueli, G., Patel, N. R., and Bruce, P. C. (2007), Data Mining for Business Intelligence, Wiley, Hoboken, NJ
- Svensson, O., Kourti, T., and MacGregor, J. F. (2002), An investigation of orthognal signal correction algorithms and their characteristic, Journal of Chemometrics, 16, 176-188. https://doi.org/10.1002/cem.700
- Tan, P. N., Steinbach, M., and Kumar, V. (2007), Introduction to datamining, Infinity books, Seoul, Korea.
- Trygg, J. and Wold, S. (2002), Orthogonal projection to latent structures( O-PLS), Journal of Chemometrics, 16, 119-128. https://doi.org/10.1002/cem.695
- Westerhuis, J. A., Jong, S., and Smilde, A. K. (2001), Direct orthogonal signal correction, Chemometrics and Intelligent Laboratory Systems, 56, 13-25. https://doi.org/10.1016/S0169-7439(01)00102-2
- Witten, I. H., Frank, E., and Hall, M. A. (2011), Data Mining, Morgan Kaufmann, Burlington, MA.
- Wold, S., Antti, H., Lindgren, F., and Ohman, J. (1998), Orthogonal signal correction of near-infrared spectra, Chemometrics and Intelligent Laboratory Systems, 44, 175-185. https://doi.org/10.1016/S0169-7439(98)00109-9
- Zhu, D., Ji, B., Meng, C., Shi, B., Tu, Z., and Qing, Z. (2007), The application of direct orthogonal signal correction for linear and non-linear multivariate calibration, Chemometrics and Intelligent Laboratory Systems, 90, 108-115.
- Zijlstra, W. G., Buursma, A., and Assendelft, O. W. (2000), Visible and Near Infrared Absorption Spectra of Human and Animal Hemoglobin, Determination and Application, VSP, Amsterdam, The Netherlands.