Research ArticleOpen accessIn the keywordsRotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality ReductionAlok Sharma, Kuldip K. PaliwalLinear discriminant analysis (LDA) finds an orientation that projects high dimensional feature vectors to reduced dimensional feature space in such a way that the overlapping between the classes in this feature space is minimum. This overlapping is usually finite and produces finite classification error which is further minimized by rotational LDA technique. This rotational LDA technique rotates the classes individually … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 6,587 accessesView PDFCite