Title :
Generalized Nonlinear Discriminant Analysis
Author :
Zhang, Li ; Zhou, Wei-Da ; Zhang, Hua ; Jiao, Li-Cheng
Author_Institution :
Inst. of Intell. Inf. Process., Xidian Univ., Xi´´an, China
Abstract :
A generalized nonlinear discriminant analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis in the nonlinear mapping space corresponds to nonlinear discriminant analysis in an input space. GNDA suggests a unified framework of nonlinear discriminant analysis which includes the kernel Fisher discriminant analysis as a specific case. Experimental results on UCI data sets demonstrate the validity of our method.
Keywords :
feature extraction; UCI data sets; feature extraction; generalized nonlinear discriminant analysis; kernel Fisher discriminant analysis; nonlinear mapping space; Data analysis; Data mining; Feature extraction; Information analysis; Information processing; Kernel; Linear discriminant analysis; Pattern analysis; Pattern recognition; Scattering;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761923
