Jolliffe, I.T.; Uddin, M. and Vines, S.K.
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ABSTRACT: Principal component analysis (PCA) is widely used in atmospheric science, and the
resulting empirical orthogonal functions (EOFs) are often rotated to aid interpretation. In this paper 3
methods are described which provide alternatives to the standard 2-stage procedure of PCA followed
by rotation. The techniques are illustrated on a small example involving sea-surface temperatures in
the Mediterranean. Each method is shown to give different simplified interpretations for the major
sources of variation in the data set. All 3 techniques have advantages over standard rotation.
|Item Type:||Journal Article|
|Keywords:||EOFs; Simplification; Interpretation; Rotation; LASSO; Mediterranean; SST|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Karen Vines|
|Date Deposited:||06 Jul 2006|
|Last Modified:||02 Aug 2016 12:56|
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