A modified PCA based on the minimum error entropy

Proceedings of the American Control Conference

Volumn 4, Issue , 2004, Pages 3800-3801

  Guo, Zhenhua ^a   Yue, Hong ^b,c   Wang, Hong ^b,c  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c Inst Auto   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CUMULATIVE PERCENT VARIANCE (CPV); MINIMUM ERROR ENTROPY; NON-GAUSSIAN DISTRIBUTION SYSTEMS; TOTAL ERROR VARIANCE;

GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; STOCHASTIC CONTROL SYSTEMS; VECTORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 8744243000     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2004.182879     Document Type: Conference Paper

References (5)

1. I. T. Jolliffe, Principal Component Analysis, Springer, New York, 2nd edition, 2002.
2. S. Valle, W. Li, and S. J. Qin, "Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to Other Methods", Ind. Eng. Chem. Res., 38, 1999, pp. 4389-4401.
3. L. D. Davis, Handbook of Genetic Algorithm, Van Nostrand Reinhold, 1991.
4. A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis, John Wiley & Sons, Inc., New York, 2001.
5. H. Wang, "Minimum Entropy Control of Non-Gaussian Dynamic Stochastic System", IEEE Transactions on Automatic Control, Vol.47, Freb. 2002, pp. 398-403.