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Feature extraction based on Lp-norm generalized principal component analysis

โœ Scribed by Liang, Zhizheng; Xia, Shixiong; Zhou, Yong; Zhang, Lei; Li, Youfu


Book ID
122609040
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
501 KB
Volume
34
Category
Article
ISSN
0167-8655

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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