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Neural networks : the official journal of the International Neural Network Society, v.22 no.5/6, 2009년, pp.642 - 650
Heo, Gyeongyong (Computer and Information Science and Engineering, University of Florida, United States) , Gader, Paul (Computer and Information Science and Engineering, University of Florida, United States) , Frigui, Hichem (Computer Engineering and Computer Science, University of Louisville, United States)
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AbstractPrincipal component analysis (PCA) is a mathematical method that reduces the dimensionality of the data while retaining most of the variation in the data. Although PCA has been applied in many areas successfully, it suffers from sensitivity to noise and is limited to linear principal compone...
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