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.


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Reference manual

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install.packages("funHDDC")

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