Comparison and integration of subspaces from a biplot perspective
Abstract:
When one has information about a set of individuals on several variables, in different groups or contexts, and multivariate analysis is applied to each group the following questions arise: which groups show a similar response? how do the groups differ? how do the individuals differ in their responses in the different groups? These issues have led us to address a very interesting question in the practical context; the comparison and integration of the structures resulting from several multivariate analyses. Here we propose a method for the comparison and integration of the results arising from two Biplot analyses applied to the same variables in two different groups of individuals. By extension, we also develop the case of more than two Biplot analyses. Emphasis is placed on the underlying geometry and the interpretation of results, for which we offer indices that allow us to study the integrated structures and perform comparative analyses. © 2002 Elsevier Science B.V. All rights reserved.
Año de publicación:
2002
Keywords:
- Consensus subspace
- Biplot method
- Eigenvector
- eigenvalue
Fuente:
Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Optimización matemática
Áreas temáticas:
- Probabilidades y matemática aplicada