Why can LDA be performed in PCA transformed space?

摘要

PCA plus LIDA is a popular framework for linear discriminant analysis (LDA) in high dimensional and singular case, in this paper, we focus on building a theoretical foundation for this framework. Moreover, we point out the weakness of the previous LIDA based methods. and suggest a complete PCA plus LIDA algorithm. Experimental results on ORL face image database indicate that the proposed method is more effective than the precious ones. (C) 2002 Published by Elsevier Science Ltd on behalf of Pattern Recognition Society. [References: 5]