Spatial Clustering of Functional Data
Piercesare Secchi, Simone Vantini, Valeria Vitelli · Contributions to statistics · 2011
We propose a new algorithm for clustering spatially dependent functional data that accounts for spatial dependence by repeatedly clustering functional local representatives of a random system of neighborhoods. The algorithm output is the frequency distribution of cluster assignment for each site of a given map. We illustrate different implementations of the algorithm by analyzing synthetic and real data.