Clustering multivariate functional data in group-specific functional subspaces

• Published in: Computational statistics Vol. 35; no. 3; pp. 1101 - 1131
• Main Authors: Schmutz, Amandine, Jacques, Julien, Bouveyron, Charles, Chèze, Laurence, Martin, Pauline
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020; Springer Verlag
• Subjects: Economic Theory/Quantitative Economics/Mathematical Methods; Mathematics; Mathematics and Statistics; Original Paper; Probability and Statistics in Computer Science; Probability Theory and Stochastic Processes; Statistics; Multivariate functional principal component analysis; EM algorithm; Multivariate functional curves; Model-based clustering; multivariate functional principal component analysis; Multivariate functional data; model-based clustering; EM-algorithm

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 f...