%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