Unsupervised classification of children’s bodies using currents
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Altres documents de l'autoria: Barahona, S.; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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Títol
Unsupervised classification of children’s bodies using currentsData de publicació
2018-06Editor
Springer VerlagISSN
1862-5347; 1862-5355Cita bibliogràfica
BARAHONA, Sonia, et al. Unsupervised classification of children’s bodies using currents. Advances in Data Analysis and Classification, 2018, vol. 12, no 2, p. 365-397.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://link.springer.com/article/10.1007/s11634-017-0283-0Versió
info:eu-repo/semantics/submittedVersionParaules clau / Matèries
Resum
Object classification according to their shape and size is of key importance in many scientific fields. This work focuses on the case where the size and shape of an object is characterized by a current. A current is ... [+]
Object classification according to their shape and size is of key importance in many scientific fields. This work focuses on the case where the size and shape of an object is characterized by a current. A current is a mathematical object which has been proved relevant to the modeling of geometrical data, like submanifolds, through integration of vector fields along them. As a consequence of the choice of a vector-valued reproducing kernel Hilbert space (RKHS) as a test space for integrating manifolds, it is possible to consider that shapes are embedded in this Hilbert Space. A vector-valued RKHS is a Hilbert space of vector fields; therefore, it is possible to compute a mean of shapes, or to calculate a distance between two manifolds. This embedding enables us to consider size-and-shape clustering algorithms. These algorithms are applied to a 3D database obtained from an anthropometric survey of the Spanish child population with a potential application to online sales of children’s wear. [-]
Publicat a
Advances in Data Analysis and Classification, 2018, vol. 12, no 2Proyecto de investigación
Spanish Ministry of Science and Innovation: DPI2013 - 47279 - C2 -1 - RDrets d'accés
© Springer-Verlag Berlin Heidelberg
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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