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funHDDC (version 2.3.1)

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

Description

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.

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Version

Install

install.packages('funHDDC')

Monthly Downloads

10

Version

2.3.1

License

GPL-2

Maintainer

Charles Bouveyron

Last Published

March 17th, 2021

Functions in funHDDC (2.3.1)

plot.mfpca

Graphical representation for MFPCA
trigo

Simulated functional univariate dataset
mfpca

Functional principal component analysis for univariate or multivariate functional data
slopeHeuristic

Calculate slope heuristic
triangle

Simulated functional bivariate dataset
plot.fd

Plot a Functional Data Object
predict.funHDDC

Predict new results from a funHDDC model
funHDDC

Clustering univariate and multivariate functional data in group-specific functional subspaces