On the performance of two clustering methods for spatial functional data
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http://dx.doi.org/10.1007/s10182-015-0253-9 |
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On the performance of two clustering methods for spatial functional dataData de publicació
2015-10Editor
Springer VerlagISSN
1863-8171Cita bibliogràfica
ROMANO, Elvira; MATEU, Jorge; GIRALDO, Ramon. On the performance of two clustering methods for spatial functional data. AStA Advances in Statistical Analysis, 2015, vol. 99, no 4, p. 467-492.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://link.springer.com/article/10.1007/s10182-015-0253-9/fulltext.htmlVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed ... [+]
The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by the trace-variogram function is analyzed. The main features of both procedures is shown through a simulation study based on a variety of practical scenarios easily encountered in the analysis of spatial functional data. An application on real data based on salinity curves is also presented. [-]
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AStA Advances in Statistical Analysis, 2015, vol. 99, no 4Drets d'accés
© Springer-Verlag Berlin Heidelberg 2015
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