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Kernel direct discriminant analysis and its theoretical foundation

✍ Scribed by Zhizheng Liang; Pengfei Shi


Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
101 KB
Volume
38
Category
Article
ISSN
0031-3203

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## Abstract The aim of this paper is to propose a novel real‐time process monitoring and fault diagnosis method based on the principal component analysis (PCA) and kernel Fisher discriminant analysis (KFDA). There is a need to develop this method in order to overcome the inherent limitations of the