R package Funclustering: A package for functional data clustering. This packages proposes a model-based clustering algorithm for multivariate functional data. The parametric mixture model, based on the assumption of normality of the principal components resulting from a multivariate functional PCA, is estimated by an EM-like algorithm. The main advantage of the proposed algorithm is its ability to take into account the dependence among curves.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Golovkine, Steven; Klutchnikoff, Nicolas; Patilea, Valentin: Clustering multivariate functional data using unsupervised binary trees (2022)
- Martino, Andrea; Ghiglietti, Andrea; Ieva, Francesca; Paganoni, Anna Maria: A (k)-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (2019)
- Rivera-García, Diego; García-Escudero, Luis A.; Mayo-Iscar, Agustín; Ortega, Joaquín: Robust clustering for functional data based on trimming and constraints (2019)
- Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv