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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("funHDDC")

2.3.0 by Charles Bouveyron, 8 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


Suggested by funcy.


See at CRAN