Space-time FPCA Algorithm for clustering of multidimensional curves.
Marcello Chiodi, Francesca Di Salvo, Giada Adelfio · 48th Scientific Meeting of the Italian Statistical Society · 2016
In this paper we focus on finding clusters of multidimensional curveswith spatio-temporal structure, applying a variant of a k-means algorithm basedon the principal component rotation of data. The main advantage of this approachis to combine the clustering functional analysis of the multidimensional data, withsmoothing methods based on generalized additive models (GAM), that cope withboth the spatial and the temporal variability, and with functional principal componentsthat takes into account the dependency between the curves