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.

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.

ORCID iDs

Yue, H. ORCID: https://orcid.org/0000-0003-2072-6223

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	39325
  Dates:	Date Event June 2004 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	24 Apr 2012 10:05
  Last modified:	30 Jan 2025 04:12
  URI:	https://strathprints.strath.ac.uk/id/eprint/39325