funHDDC: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
Version 2.0

The funHDDC algorithm (Bouveyron and Jacques, 2001, Schmutz et al., 2017) allows to cluster functional univariate or multivariate data by modeling each group within a specific functional subspace.

Package details

AuthorA Schmutz, J. Jacques & C. Bouveyron
Date of publication2018-04-18 16:48:14 UTC
MaintainerCharles Bouveyron <[email protected]>
LicenseGPL-2
Version2.0
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 April 18, 2018, 5:03 p.m.