Investigating Shape Variation Using Generalized Procrustes Analysis and Machine Learning [PDF]
Applied Sciences, 2022 The biological investigation of a population’s shape diversity using digital images is typically reliant on geometrical morphometrics, which is an approach based on user-defined landmarks.
Wilfried Wöber +5 more
doaj +5 more sources
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data [PDF]
BMC Bioinformatics, 2008 Background Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides ...
Trudeau Vance L +4 more
doaj +7 more sources
Comparing COSTATIS and Generalized Procrustes Analysis with Multi-Way Public Education Expenditure Data [PDF]
Mathematics, 2021 Governments serve a variety of purposes, and where governments spend their money has always been of concern to society. In particular, spending on public education is of great interest.
María Concepción Vega-Hernández +1 more
doaj +4 more sources
Stratified Generalized Procrustes Analysis [PDF]
International Journal of Computer Vision, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Loog +2 more
exaly +5 more sources
The interpretation of Generalized Procrustes Analysis and allied methods
Food Quality and Preference, 1991 We discuss various issues surrounding the use and interpretation of Generalized Procrustes Analysis and related methods. Included are considerations that have to be made before starting an analysis, how to handle different dimensionalities of data, when to consider fitting scaling factors and when not to, and the distinction between the number of ...
Garmt Dijksterhuis, J. C. Gower
exaly +4 more sources
Interpreting generalized procrustes analysis ‘analysis of variance’ tables
Food Quality and Preference, 1990 Abstract Two different methods for generalized Procrustes analysis are introduced. One of the methods is used to illustrate the interpretation of the results of a conventional and of a free choice profiling experiment. The different sources of variance are partitioned over the products and judges.
Garmt Dijksterhuis, Pieter Punter
exaly +4 more sources
Biplots of free-choice profile data in generalized orthogonal Procrustes analysis [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2007 Summary Free-choice profiling is a technique that is used in sensory studies whereby assessors are allowed to describe products by using their own preferred descriptors and own number of descriptors. We show how a study of this type on eight varieties of port wine can be analysed and, in particular, how to associate the descriptors of ...
Niel Le Roux, Sugnet Lubbe
exaly +3 more sources
SPSS Syntax for Combining Results of Principal Component Analysis of Multiply Imputed Data Sets using Generalized Procrustes Analysis [PDF]
Applied Psychological Measurement, 2021 Joost van Ginkel, Bart Van Wingerde
exaly +4 more sources
Comparing generalized procrustes analysis and statis [PDF]
Food Quality and Preference, 2000 We consider a model for sensory profiling data including translation, rotation and scaling. We compare two methods to calculate an overall consensus from several data matrices: GPA and STATIS. These methods are briefly illustrated and explained under our model. A series of simulations to compare their performance has been carried out.
Michael Meyners +2 more
openalex +5 more sources
Anisotropic generalized Procrustes analysis
Computational Statistics & Data Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammed Bennani Dosse +2 more
openalex +5 more sources