Shirley Coyle

Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders

We introduce FAEclust, a novel functional autoencoder framework for cluster analysis of multi-dimensional functional data, data that are random realizations of vector-valued random functions. Our framework features a universal-approximator encoder that captures complex nonlinear interdependencies am…