On the Equivalence of Linear Dimensionality-Reducing Transformations

被引：0
|
作者：
Loog, Marco [1 ]
机构：
[1] Delft Univ Technol, ICT Grp, NL-2628 CD Delft, Netherlands
来源：
JOURNAL OF MACHINE LEARNING RESEARCH | 2008年 / 9卷
关键词：
linear discriminant analysis; equivalence relation; linear subspaces; Bayes error;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this JMLR volume, Ye (2008) demonstrates the essential equivalence of two sets of solutions to a generalized Fisher criterion used for linear dimensionality reduction (see Ye, 2005; Loog, 2007). Here, I point out the basic flaw in this new contribution.
引用
收藏
页码：2489 / 2490
页数：2
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