"In this paper, we consider two clustering strategies in order to explore spatial. relations among functional data. A first strategy aims to classify spatially. dependent functional data and to obtain a spatio-functional representative model for. each cluster. A second one is a clusterwise regression method, that achieves, simultaneously, an optimal partition. of a spatial functional data set and a set of bivariate functional regression models associated. to the clusters. These models take into account both the interactions among. different functional variables and the spatial relations among the observations."
Clustering geostatistical functional data
ROMANO, Elvira;VERDE, Rosanna
2012
Abstract
"In this paper, we consider two clustering strategies in order to explore spatial. relations among functional data. A first strategy aims to classify spatially. dependent functional data and to obtain a spatio-functional representative model for. each cluster. A second one is a clusterwise regression method, that achieves, simultaneously, an optimal partition. of a spatial functional data set and a set of bivariate functional regression models associated. to the clusters. These models take into account both the interactions among. different functional variables and the spatial relations among the observations."File in questo prodotto:
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