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A fast kernel-based nonlinear discriminant analysis for multi-class problems

โœ Scribed by Yong Xu; David Zhang; Zhong Jin; Miao Li; Jing-Yu Yang

Book ID
108234342
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
211 KB
Volume
39
Category
Article
ISSN
0031-3203

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Principal component analysis is a useful method for analysing data-matrices. By analysing separate class models, i.e. disjoint principal component modelling as in the SIMCA or FCVPC programs (developed for supervised and unsupervised principal component analysis respectively), the principal componen