funHDDC: 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.

Getting started

Package details

AuthorA Schmutz, J. Jacques & C. Bouveyron
MaintainerCharles Bouveyron <[email protected]>
LicenseGPL-2
Version2.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("funHDDC")

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funHDDC documentation built on Oct. 9, 2018, 1:05 a.m.