Nonlinear multiclass discriminant analysis

被引：7
作者：
Ma, JS
Sancho-Gómez, JL
Ahalt, SC
机构：
[1] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA
[2] Univ Carlos III Madrid, Dept Signal Theory & Commun, Getafe 28911, Spain
来源：
IEEE SIGNAL PROCESSING LETTERS | 2003年 / 10卷 / 07期
关键词：
discriminant analysis; feature extraction; kernel method;
D O I：
10.1109/LSP.2003.813680
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An alternative nonlinear multiclass discriminant algorithm is presented. This algorithm is based on the use of kernel functions and is designed to optimize a general linear discriminant analysis criterion based on scatter matrices. By reformulating these matrices in a specific form, a straightforward derivation allows the kernel function to be introduced in a simple and direct way. Moreover, we propose a method to determine the value of the regularization parameter tau, based on this derivation.
引用
收藏
页码：196 / 199
页数：4
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