Listar por autoría "f87d6748-dba7-48e2-9d91-0daf68c3c8d7"

Mostrando ítems 1-6 de 6

    • openAccess   Apparel sizing using trimmed PAM and OWA operators 

      Ibáñez Gual, Maria Victoria; Epifanio, Irene; Simó, Amelia; Vinué Visús, Guillermo; Alemany Mut, Sandra; Domingo Esteve, Juan de Mata; Ayala Gallego, Guillermo Elsevier (2012-09)
      This paper is concerned with apparel sizing system design. One of the most important issues in the apparel development process is to define a sizing system that provides a good fit to the majority of the population. A ...

    • openAccess   Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem 

      Epifanio, Irene; Vinué Visús, Guillermo; Alemany Mut, Sandra Elsevier (2012-12)
      The use of archetypal analysis is proposed in order to determine a set of representative cases that entail a certain percentage of the population, in the accommodation problem. A well-known anthropometric database has been ...

    • openAccess   Archetypoid analysis for sports analytics 

      Vinué Visús, Guillermo; Epifanio, Irene Springer Verlag (2017-06)
      We intend to understand the growing amount of sports performance data by finding extreme data points, which makes human interpretation easier. In archetypoid analysis each datum is expressed as a mixture of actual observations ...

    • openAccess   Archetypoids: A new approach to define representative archetypal data 

      Vinué Visús, Guillermo; Epifanio, Irene; Alemany Mut, Sandra Elsevier (2015)
      The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, ...

    • openAccess   Forecasting basketball players’ performance using sparse functional data 

      Vinué Visús, Guillermo; Epifanio, Irene Wiley (2019-09)
      Statistics and analytic methods are becoming increasingly important in basketball. In particular, predicting players’ performance using past observations is a considerable challenge. The purpose of this study is to ...

    • closedAccess   The k -means algorithm for 3D shapes with an application to apparel design 

      Vinué Visús, Guillermo; Simó, Amelia; Alemany Mut, Sandra Springer (2014-10-17)
      Clustering of objects according to shapes is of key importance in many scientific fields. In this paper we focus on the case where the shape of an object is represented by a configuration matrix of landmarks. It is well ...