Multidimensional scaling
JD Carroll, P Arabie - Measurement, judgment and decision making, 1998 - Elsevier
Publisher Summary Multidimensional Scaling (MDS), a very important part of experimental
psychology, is a technique which encompasses a geometrical model representing the data …
psychology, is a technique which encompasses a geometrical model representing the data …
[PDF][PDF] PROXSCAL: A multidimensional scaling program for individual differences scaling with constraints
The program PROXSCAL performs multidimensional scaling of proximity ((dis) similarity,
distance-like) data to find a least squares representation of the objects in a low-dimensional …
distance-like) data to find a least squares representation of the objects in a low-dimensional …
11 applications of multidimensional scaling in psychometrics
Y Takane - Handbook of statistics, 2006 - Elsevier
Publisher Summary Multidimensional scaling (MDS) is a set of data analysis techniques for
the analysis of data. Two types of definitions of MDS exist—namely, the narrow and broad …
the analysis of data. Two types of definitions of MDS exist—namely, the narrow and broad …
Cautionary remarks on the use of clusterwise regression
Clusterwise linear regression is a multivariate statistical procedure that attempts to cluster
objects with the objective of minimizing the sum of the error sums of squares for the within …
objects with the objective of minimizing the sum of the error sums of squares for the within …
A latent class unfolding model for analyzing single stimulus preference ratings
G De Soete, WJ Heiser - Psychometrika, 1993 - Springer
A multidimensional unfolding model is developed that assumes that the subjects can be
clustered into a small number of homogeneous groups or classes. The subjects that belong …
clustered into a small number of homogeneous groups or classes. The subjects that belong …
Anthropomorphic responses to new-to-market logos
CR Payne, MR Hyman, M Niculescu… - Journal of Marketing …, 2013 - Taylor & Francis
To examine design antecedents and consumer responses to ascriptions of anthropomorphic
features for logos, we applied a best-practices conceptual framework to evaluate 120 US …
features for logos, we applied a best-practices conceptual framework to evaluate 120 US …
Clustering in low-dimensional space
WJ Heiser - Information and Classification: Concepts, Methods and …, 1993 - Springer
It is often asserted that clustering techniques and multidimensional scaling (MDS) have
mutually exclusive roles in the analysis of a given set of data, the former being especially …
mutually exclusive roles in the analysis of a given set of data, the former being especially …
ConPar: A method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses
A common representation of data within the context of multidimensional scaling (MDS) is a
collection of symmetric proximity (similarity or dissimilarity) matrices for each of M subjects …
collection of symmetric proximity (similarity or dissimilarity) matrices for each of M subjects …
INDSCAL model: geometrical interpretation and methodology
F Husson, J Pagès - Computational statistics & data analysis, 2006 - Elsevier
The geometrical interpretation of the INDSCAL model is described in detail. This geometrical
interpretation offers new lights about the characteristics of the model which are important for …
interpretation offers new lights about the characteristics of the model which are important for …