In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.

Adelfio G, D.S.F. (2018). Space-Time FPCA Clustering of Multidimensional Curves.. In P.M. Perna C. (a cura di), Studies in Theoretical and Applied Statistics. SIS 2016. (pp. 201-210) [10.1007/978-3-319-73906-9_18].

Space-Time FPCA Clustering of Multidimensional Curves.

Adelfio G
;
Di Salvo F;Chiodi M
2018-01-01

Abstract

In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.
2018
Adelfio G, D.S.F. (2018). Space-Time FPCA Clustering of Multidimensional Curves.. In P.M. Perna C. (a cura di), Studies in Theoretical and Applied Statistics. SIS 2016. (pp. 201-210) [10.1007/978-3-319-73906-9_18].
File in questo prodotto:
File Dimensione Formato  
SIS2016-ADELFIOetal-10pages_rev.pdf

Solo gestori archvio

Dimensione 661.82 kB
Formato Adobe PDF
661.82 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/288534
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact