Results 191 to 200 of about 23,181 (222)

Rabbit Skull Shape: Three-Dimensional Geometric Morphometric Analysis. [PDF]

Vet Med Sci
Demircioğlu İ, Demiraslan Y, Koçyiğit A.   +2 more
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Anisotropic generalized Procrustes analysis

Computational Statistics & Data Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bennani-Dosse, Mohammed, Kiers, Henk A.L., ten Berge, Jos M. F.   +2 more
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Resistant orthogonal procrustes analysis

Journal of Classification, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Verboon, Peter, Heiser, Willem J.
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Procrustes analysis (PA)

2021
Broadly speaking, Procrustes analysis (PA) is about transforming some configuration of points in the plane/space to fit into a given specific pattern of points. PA is named after the character Procrustes from the Greek mythology, a robber dwelling somewhere in Attica (and son of Poseidon).
Nickolay Trendafilov, Michele Gallo
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Anisotropic Orthogonal Procrustes Analysis

Journal of Classification, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bennani-Dosse, Mohammed, ten Berge, Jos M. F.   +1 more
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Subspace Procrustes Analysis

2018
Procrustes Analysis (PA) has been a popular technique to align and build 2-D statistical models of shapes. Given a set of 2-D shapes PA is applied to remove rigid transformations. Then, a non-rigid 2-D model is computed by modeling (e.g., PCA) the residual.
Perez-Giminez, Xavier, Torre, Fernando De La, Igual, Laura, Escalera, Sergio, Angulo, Cecilio   +4 more
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Orthogonal Procrustes Analysis

2019
The terms Procrustes Analysis and Procrustes Techniques are referred to a set of least squares mathematical models used to perform transformations among corresponding points belonging to a generic k-dimensional space, in order to satisfy their maximum agreement.
Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini   +4 more
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Performing procrustes discriminant analysis with HOLMES

Talanta, 1999
Program HOLMES devised by target factor analysis has been updated for performing procrustes discriminant analysis (PDA). Computational details are outlined. The equivalence between PDA and partial least squares-discriminant analysis (PLS-DA) is established. Application of the PDA is illustrated by two case studies taken from literature.
D, González-Arjona, G, López-Pérez, A G, González   +2 more
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Anisotropic Procrustes Analysis

2019
The EOPA and GPA models, described in the previous chapters, can be further extended by substituting the isotropic scale factor c with an anisotropic scaling characterized by a diagonal matrix \(\varvec{\Gamma }\) of different scale factors.
Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini   +4 more
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Planar Procrustes analysis of tooth shape

Archives of Oral Biology, 2001
Accurate quantification of variation in tooth shape is important in studies of dental development, which typically have involved measuring distances between subjectively identified landmarks, key points of correspondence on teeth. An established statistical framework now exists for the analysis of shape when objects are represented as configurations of
D L, Robinson, P G, Blackwell, E C, Stillman, A H, Brook   +3 more
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