International audienceGeneralized Procrustes analysis is a popular method for matching several configurations by translations, rotations/reflections and scaling constants. It aims at producing a group average from these Euclidean similarity transformations followed by bi-linear approximation of this group average for graphical inspection. An extension that allows for anisotropic scaling (i.e. different scaling of different dimensions) is proposed. This method is illustrated using two real data sets from sensory analysis
There is an increasing need to develop processing tools for diffusion tensor image data with the con...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
In this paper the relation between a sensory and an instrumental dataset is studied by means of Proc...
Generalized Procrustes analysis is a popular method for matching several configurations by translati...
The basic Procrustes problem is to transform a matrix X1 to X1Τ in order to match a target matrix X...
There is an increasing need to develop processing tools for diffusion tensor image data with the con...
Standard Procrustes analysis involves matching shape configurations, through translations, ro-tation...
Suppose P i (i) (i = 1, 2, ...,m, j = 1, 2, ...,n) give the locations ofmn points inp-dimensional sp...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
We discuss various issues surrounding the use and interpretation of Generalized Procrustes Analysis ...
First systematic overview of Procrustean methods in one volume Multi-disciplinary - these matching ...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
There is an increasing need to develop processing tools for diffusion tensor image data with the con...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
In this paper the relation between a sensory and an instrumental dataset is studied by means of Proc...
Generalized Procrustes analysis is a popular method for matching several configurations by translati...
The basic Procrustes problem is to transform a matrix X1 to X1Τ in order to match a target matrix X...
There is an increasing need to develop processing tools for diffusion tensor image data with the con...
Standard Procrustes analysis involves matching shape configurations, through translations, ro-tation...
Suppose P i (i) (i = 1, 2, ...,m, j = 1, 2, ...,n) give the locations ofmn points inp-dimensional sp...
A statistical method for analysing sensory profiling data obtained by means of fixed vocabulary or f...
We discuss various issues surrounding the use and interpretation of Generalized Procrustes Analysis ...
First systematic overview of Procrustean methods in one volume Multi-disciplinary - these matching ...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes Analysis (GPA) is a method for matching several, possibly large, data sets by...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
There is an increasing need to develop processing tools for diffusion tensor image data with the con...
Generalised Procrustes analysis (GPA) is a method for producing a group average from rotated version...
In this paper the relation between a sensory and an instrumental dataset is studied by means of Proc...