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

The funHDDC algorithm allows to cluster functional univariate (Bouveyron and Jacques, 2011, ) or multivariate data (Schmutz et al., 2018) by modeling each group within a specific functional subspace.


Reference manual

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2.3.0 by Charles Bouveyron, 2 years 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