Letter: Weighted maximum margin discriminant analysis with kernels

Authors:
Wenming Zheng;Cairong Zou;Li Zhao
Affiliations:
Research Center for Learning Science, Southeast University, Nanjing, Jiangsu 210096, PR China and Engineering Research Center of Information Processing and Application, Department of Radio Enginee ...;Engineering Research Center of Information Processing and Application, Department of Radio Engineering, Southeast University, Nanjing, Jiangsu 210096, PR China;Engineering Research Center of Information Processing and Application, Department of Radio Engineering, Southeast University, Nanjing, Jiangsu 210096, PR China
Venue:
Neurocomputing
Year:
2005

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Abstract

A new kernel-based learning algorithm, called kernel weighted maximum margin discriminant analysis (KWMMDA), is presented in this paper. Different from the previous discriminant analysis algorithms based on the traditional Fisher discriminant criterion, KWMMDA is derived based on a new discriminant criterion, called weighted maximum margin criterion (WMMC). The better performance of KWMMDA is demonstrated by experiments on real data set.