Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces

The funHDDC algorithm (Schmutz et al., 2018) allows to cluster functional univariate or multivariate data by modeling each group within a specific functional subspace.


Reference manual

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2.2.0 by Charles Bouveyron, 4 months ago

Browse source code at https://github.com/cran/funHDDC

Authors: A Schmutz , J. Jacques & C. Bouveyron

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models, Functional Data Analysis

GPL-2 license

Depends on MASS, fda

Suggests knitr, rmarkdown

See at CRAN