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

The funHDDC algorithm allows to cluster functional univariate (Bouveyron and Jacques, 2011, <doi:10.1007/s11634-011-0095-6>) or multivariate data (Schmutz et al., 2018) by modeling each group within a specific functional subspace.

Getting started

Package details

AuthorA Schmutz, J. Jacques & C. Bouveyron
MaintainerCharles Bouveyron <charles.bouveyron@gmail.com>
LicenseGPL-2
Version2.3.0
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 May 2, 2019, 4:01 a.m.