Gower, John C.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1002/wics.107|
|Google Scholar:||Look up in Google Scholar|
The basic Procrustes problem is to transform a matrix X1 to X1Τ in order to match a target matrix X2. Matching necessitates that X1 and X2 have the same number of rows identified with the same entities but the columns are unrestricted in type and number. Special cases discussed are when T is an orthogonal, projection, or direction-cosine matrix. Sometimes, both matrices are transformed and size parameters referring to isotropic and various forms of anisotropic scaling may be incorporated. Procrustes methods may be generalized to cover K transformed matrices X1 Τ1,....,XK ΤK in which case their average (the group average) is important. Applications are in shape analysis, image analysis, psychometrics etc.
|Item Type:||Journal Article|
|Copyright Holders:||2010 John Wiley & Sons, Inc.|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||02 Mar 2011 14:58|
|Last Modified:||04 Oct 2016 11:01|
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