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Multiple factor analysis: principal component analysis for multitable and multiblock data sets

✍ Scribed by Abdi, Hervé; Williams, Lynne J.; Valentin, Domininique

Book ID
120193259
Publisher
Wiley (John Wiley & Sons)
Year
2013
Tongue
English
Weight
593 KB
Volume
5
Category
Article
ISSN
0163-1829

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## Abstract Principal component analysis (PCA) and principal component regression (PCR) are routinely used for calibration of measurement devices and for data evaluation. However, their use is hindered in some applications, e.g. hyperspectral imaging, by excessive data sets that imply unacceptable