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.
Full text not available in this repository. (Request a copy from the Strathclyde author)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: | 04 Oct 2012 17:24 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/39325 |
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