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dc.contributor.author | Vinue, G. | es_ES |
dc.contributor.author | Leon, T. | es_ES |
dc.contributor.author | Alemany Mut, Mª Sandra | es_ES |
dc.contributor.author | Ayala Gallego, Guillermo | es_ES |
dc.date.accessioned | 2016-09-28T07:24:09Z | |
dc.date.available | 2016-09-28T07:24:09Z | |
dc.date.issued | 2014-01 | |
dc.identifier.issn | 0167-9236 | |
dc.identifier.uri | http://hdl.handle.net/10251/70539 | |
dc.description.abstract | This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We propose two algorithms based on a new hierarchical partitioning around medoids clustering method originally developed for gene expression data. We are concerned with a different application; therefore, the dissimilarity between the objects has to be different and must be designed to deal with anthropometric features. Furthermore, one of the algorithms incorporates a different rule to split the clusters, which, in our case, provides better results. Our procedures not only make it possible to obtain optimal prototypes, but also to detect outliers. These outliers should be removed before defining prototypes so that the companies' market share can be optimized. All the analyses are performed using the anthropometric database obtained from a survey of the Spanish female population. | es_ES |
dc.description.sponsorship | This paper has been partially supported by the following grants: TIN2009-14392-C02-01, TIN2009-14392-C02-02. We would like to thank the Biomechanics Institute of Valencia for providing us with the data set and the Spanish Ministry of Health and Consumer Affairs for having commissioned and coordinated the "Anthropometric Study of the Female Population in Spain". We would also like to thank the anonymous referee for some very valuable comments and suggestions, which helped to greatly improve this paper. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Decision Support Systems | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | HIPAM | es_ES |
dc.subject | Hierarchical tree | es_ES |
dc.subject | Partitioning around medoids | es_ES |
dc.subject | Fit models | es_ES |
dc.subject | Mean split silhouette | es_ES |
dc.subject | INCA statistic | es_ES |
dc.title | Looking for representative fit models for apparel sizing | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.dss.2013.07.007 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-14392-C02-01/ES/Aplicacion De Tecnicas Morfometricas Al Diseño Y Evaluacion Funcional De Indumentaria/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-14392-C02-02/ES/Desarrollo De Metodologias Y Herramientas Morfometricas Para La Explotacion De Bases De Datos Tridimensionales Del Cuerpo Humano Orientadas Al Diseño Y Evaluacion Funcional Del Ajuste De Indumentaria./ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València | es_ES |
dc.description.bibliographicCitation | Vinue, G.; Leon, T.; Alemany Mut, MS.; Ayala Gallego, G. (2014). Looking for representative fit models for apparel sizing. Decision Support Systems. 57:22-33. https://doi.org/10.1016/j.dss.2013.07.007 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.dss.2013.07.007 | es_ES |
dc.description.upvformatpinicio | 22 | es_ES |
dc.description.upvformatpfin | 33 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 57 | es_ES |
dc.relation.senia | 286206 | es_ES |
dc.contributor.funder | Ministerio de Sanidad y Consumo | es_ES |