Some comments on singular value decomposition analysis

被引：0
|
作者：
Cherry, S
机构：
[1] Department of Mathematical Sciences, Montana State University, Bozeman, MT
[2] Dept. of Mathematical Sciences, Montana State University, Bozeman
来源：
JOURNAL OF CLIMATE | 1997年 / 10卷 / 07期
关键词：
D O I：
10.1175/1520-0442(1997)010<1759:SCOSVD>2.0.CO;2
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
The singular value decomposition analysis (SVD) method is discussed in the context of the simultaneous orthogonal rotation of two matrices. It is demonstrated that the singular vectors are rotated EOFs and the SVD expansion coefficients are rotated sets of principal component expansion coefficients. This way of thinking about SVD aids in the interpretation of results and provides guidance as to when and how to use SVD.
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页码：1759 / 1761
页数：3
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