A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine

10.1016/S0925-2312(03)00433-8

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Bibliographic Details
Main Authors: Cao, L.J., Chua, K.S., Chong, W.K., Lee, H.P., Gu, Q.M.
Other Authors: MATHEMATICS
Format: Article
Published: 2014
Subjects:
Independent component analysis
Kernel principal component analysis
Principal component analysis
Support vector machines
Online Access:http://scholarbank.nus.edu.sg/handle/10635/102621
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/102621

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