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Problems with Procrustes analysis
Journal of Applied Statistics, 1989Procrustes analysis is applied to three different data sets. From this, it is inferred that the uncritical use of this technique can be highly misleading. It is suggested that an examination of the internal structure of the data is needed to clarify the results and one form of such examination is used as an illustration in the text.
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Generalized Isotropic Procrustes Analysis
2019The main peculiarity of the problem treated in this chapter is given by the fact that \(m > 2\) matrix configurations are simultaneously considered.
Fabio Crosilla +4 more
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Generalized joint Procrustes analysis
Computational Statistics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Quantifying biomechanical motion using Procrustes motion analysis
Journal of Biomechanics, 2007The ability to quantify and compare the movements of organisms is a central focus of many studies in biology, anthropology, biomechanics, and ergonomics. However, while the importance of functional motion analysis has long been acknowledged, quantitative methods for identifying differences in motion have not been widely developed.
Dean C, Adams, Melinda M, Cerney
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Weighted analysis for missing values in generalized procrustes analysis
Food Quality and Preference, 2000Generalized Procrustes Analysis (GPA), a popular tool in sensory science, is generally carried out on panelist data matrices averaged over replicates. This paper addresses the problem of missing values arising when panelists miss sessions. Because this does not necessarily result in missing values in the final averaged data matrices, a weighted ...
Wilkinson, E.C. +2 more
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An Improved Majorization Algorithm for Robust Procrustes Analysis
2005In this paper, we focus on algorithms for Robust Procrustes Analysis that are used to rotate a solution of coordinates towards a target solution while controlling outliers. Verboon (1994) and Verboon and Heiser (1992) showed how iterative weighted least-squares can be used to solve the problem.
Groenen, P.J F +2 more
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Surgery Task Classification Using Procrustes Analysis
2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2019Recognizing surgical tasks is a crucial step toward automatic surgical training in robotic surgery training. In this work, we proposed and developed a classification framework for surgical task recognition. This approach is based on using three components: Dynamic Time Warping (DTW), Procrustes analysis (PA), and Fuzzy k- nearest neighbor (FkNN). First,
Safaa Albasri +2 more
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Procrustes Analysis and Geodetic Sciences
2003Procrustes analysis is a well known technique to provide least squares matching of two or more factor loading matrices or for the multidimensional rotation and scaling of different matrix configurations. Applied at first as a useful tool in factor analysis, today it has become a popular method of shape analysis (Goodall 1991, Dryden and Mardia 1998).
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Permutation tests for Generalized Procrustes Analysis
Food Quality and Preference, 2008Abstract Generalized Procrustes Analysis (GPA) is a useful tool for sensory professionals to analyze sensory data, especially those from free choice profiling. Over a decade ago, Wakeling introduced a permutation test for determining if the GPA consensus is significant.
R. Xiong +3 more
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Applications of Anisotropic Procrustes Analysis
2019As extensively shown in the previous chapters, Procrustes Analysis allows to easily perform transformations among corresponding point coordinates belonging to a generic k-dimensional space and it is therefore suited to solve problems encountered in geodesy, photogrammetric computer vision, and laser scanning.
Fabio Crosilla +4 more
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