@article{(Open Science Index):https://publications.waset.org/pdf/4549,
	  title     = {An Iterative Algorithm for KLDA Classifier },
	  author    = {D.N. Zheng and  J.X. Wang and  Y.N. Zhao and  Z.H. Yang},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {4},
	  year      = {2007},
	  pages     = {1082 - 1085},
	  ee        = {https://publications.waset.org/pdf/4549},
	  url   	= {https://publications.waset.org/vol/4},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 4, 2007},
	}