funHDDC: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
Version 2.1.0

The funHDDC algorithm (Schmutz et al., 2017) 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
Date of publication2018-08-13 08:50:03 UTC
MaintainerCharles Bouveyron <[email protected]>
Package repositoryView on CRAN
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funHDDC documentation built on Aug. 13, 2018, 9:03 a.m.