1 citations · 2 across the 2 of their papers we have counts for
7 papers
Biarchetype analysis for univariate functional data. An application to macroeconomic financial time series
Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1
We introduce biarchetype analysis for the first time in the context of univariate functional data. This unsupervised methodology extends archetype analysis by simultaneously identi…
Archetypal analysis of European 10-year government bond yields with multidimensional scaling of two-mode three-way asymmetric dissimilarities
Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1
A recent methodology for extracting archetypal profiles from three-way asymmetric proximity data is applied to a dataset comprising 23 x 23 x 3 two-mode, three-way asymmetric dissi…
Representing asymmetric relationships by h-plots. Discovering the archetypal patterns of cross-journal citation relationships
Aleix Alcacer, Irene Epifanio
This work approaches the multidimensional scaling problem from a novel angle. We introduce a scalable method based on the h-plot, which inherently accommodates asymmetric proximity…
Archetypal cases for questionnaires with nominal multiple choice questions
Aleix Alcacer, Irene Epifanio
Archetypal analysis serves as an exploratory tool that interprets a collection of observations as convex combinations of pure (extreme) patterns. When these patterns correspond to…
A Survey on Archetypal Analysis
Aleix Alcacer, Irene Epifanio, Sebastian Mair +1
Archetypal analysis (AA) was originally proposed in 1994 by Adele Cutler and Leo Breiman as a computational procedure for extracting distinct aspects, so-called archetypes, from ob…
Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
Aleix Alcacer, Rafael Benitez, Vicente J. Bolos +1
Multidimensional scaling visualizes dissimilarities among objects and reduces data dimensionality. While many methods address symmetric proximity data, asymmetric and especially th…