Some Comments on Singular Value Decomposition AnalysisSource: Journal of Climate:;1997:;volume( 010 ):;issue: 007::page 1759Author:Cherry, Steve
DOI: 10.1175/1520-0442(1997)010<1759:SCOSVD>2.0.CO;2Publisher: American Meteorological Society
Abstract: 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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| contributor author | Cherry, Steve | |
| date accessioned | 2017-06-09T15:35:52Z | |
| date available | 2017-06-09T15:35:52Z | |
| date copyright | 1997/07/01 | |
| date issued | 1997 | |
| identifier issn | 0894-8755 | |
| identifier other | ams-4816.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4187467 | |
| description abstract | 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. | |
| publisher | American Meteorological Society | |
| title | Some Comments on Singular Value Decomposition Analysis | |
| type | Journal Paper | |
| journal volume | 10 | |
| journal issue | 7 | |
| journal title | Journal of Climate | |
| identifier doi | 10.1175/1520-0442(1997)010<1759:SCOSVD>2.0.CO;2 | |
| journal fristpage | 1759 | |
| journal lastpage | 1761 | |
| tree | Journal of Climate:;1997:;volume( 010 ):;issue: 007 | |
| contenttype | Fulltext |