Clustering of multivariate functional data, a new methodology
Amandine Schmutz

With the emergence of numerical sensors in many aspects of everyday life, there is an increasing need in analyzing multivariate functional data. This work focuses on the clustering of such functional data, in order to ease their modeling and understanding. To this end, a novel clustering technique for multivariate functional data is presented. This method is called funHDDC and is available on CRAN as an R package.