A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data

Andrea Martino, Andrea Ghiglietti, Francesca Ieva +1

This paper proposes a clustering procedure for samples of multivariate functions in $(L^2(I){)}^J$, with $J\ge 1$. This method is based on a k-means algorithm in which the distance…