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Morphological Diversity as a Proxy for Assessing Genetic Diversity of <i>Aedes aegypti</i> (Diptera, Culicidae). [PDF]
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18th International Conference on Pattern Recognition (ICPR'06), 2006
In this work we introduce a new methodology to build a kernel matrix from a collection of kernels. The key idea is to build an unique kernel that eliminates spurious differences between kernels. We propose a method based on the Procrustes problems that uses the Alternating Projections method to minimize a certain error measure.
Isaac Martín de Diego, Alberto Muñoz
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In this work we introduce a new methodology to build a kernel matrix from a collection of kernels. The key idea is to build an unique kernel that eliminates spurious differences between kernels. We propose a method based on the Procrustes problems that uses the Alternating Projections method to minimize a certain error measure.
Isaac Martín de Diego, Alberto Muñoz
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Perceptual and Motor Skills, 1990
It is argued that Mosier's simple, “approximate” procrustes transformation solution for factor analysis, with the transformation vectors not at first constrained to unit-length, is preferable to a solution for his original much more difficult problem, attacked by many investigators, where the transformation vectors are initially restricted to unit ...
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It is argued that Mosier's simple, “approximate” procrustes transformation solution for factor analysis, with the transformation vectors not at first constrained to unit-length, is preferable to a solution for his original much more difficult problem, attacked by many investigators, where the transformation vectors are initially restricted to unit ...
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The symmetric procrustes problem
BIT, 1988The author defines as the ``symmetric Procrustes'' (SP) problem a constrained least squares approximation problem with the additional requirement of symmetry on the unknown matrix. The main contributions of the author are the use of the singular value decomposition to solve and analyse the SP problem, and the examination of the stability of methods for
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Procrustes: A python library to find transformations that maximize the similarity between matrices
Computer Physics Communications, 2022Fanwang Meng +2 more
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Procrustes Cross-Validation of short datasets in PCA context
Talanta, 2021Alexey L Pomerantsev, Oxana Ye Rodionova
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