%0 Journal Article
	%A D.N. Zheng and  J.X. Wang and  Y.N. Zhao and  Z.H. Yang
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 4, 2007
	%T An Iterative Algorithm for KLDA Classifier 
	%U https://publications.waset.org/pdf/4549
	%V 4
	%X The Linear discriminant analysis (LDA) can be
generalized into a nonlinear form - kernel LDA (KLDA) expediently
by using the kernel functions. But KLDA is often referred to a general
eigenvalue problem in singular case. To avoid this complication, this
paper proposes an iterative algorithm for the two-class KLDA. The
proposed KLDA is used as a nonlinear discriminant classifier, and the
experiments show that it has a comparable performance with SVM.
	%P 1082 - 1085