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A modified PCA based on the minimum error entropy

Guo, Z.H. and Yue, H. and Wang, H. (2004) A modified PCA based on the minimum error entropy. In: American Control Conference 2004, 2004-06-30 - 2004-07-02, Boston.

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Abstract

Conventional principal component analysis (PCA) minimizes the total error variance, which may be inappropriate for the non-Gaussian distribution systems. In this paper the entropy is proposed as a more general index for PCA model, and then a modified PCA with the optimization for the minimum error entropy via a genetic algorithm (GA) is addressed.

Item type: Conference or Workshop Item (Paper)
ID code: 39325
Keywords: modified pca, minimum, error entropy, genetic algorithms, principal component analysis , minimum entropy methods, least mean squares methods, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 24 Apr 2012 11:05
    Last modified: 17 Jul 2013 15:32
    URI: http://strathprints.strath.ac.uk/id/eprint/39325

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