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http://dx.doi.org/10.7232/JKIIE.2011.37.4.400

Adjusted Direct Orthogonal Signal Correction For High-Dimensional Spectral Data  

Kim, Sin-Young (School of Industrial Management Engineering, Korea University)
Kim, Seoung-Bum (School of Industrial Management Engineering, Korea University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.37, no.4, 2011 , pp. 400-407 More about this Journal
Abstract
Modeling and analysis of high-dimensional spectral data provide an opportunity to uncover inherent patterns in various information-rich data. Orthogonal signal correction (OSC) a preprocessing technique has been widely used to remove unwanted variations of spectral data that do not contribute to prediction or classification. In the present study we propose a novel OSC algorithm called adjusted direct OSC to improve visualization and the ability of classification. Experimental results with real mass spectral data from condom lubricants demonstrate the effectiveness of the proposed approach.
Keywords
Mass Spectra; Principal Component Analysis; Orthogonal Signal Correction; Visualization; Classification; Preprocessing;
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