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funHDDC (version 2.0)

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

Description

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.

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Version

Install

install.packages('funHDDC')

Monthly Downloads

10

Version

2.0

License

GPL-2

Maintainer

Charles Bouveyron

Last Published

April 18th, 2018

Functions in funHDDC (2.0)

funHDDC-package

Clustering Univariate and Multivariate Functional Data in Group-specific Functional Subspaces
plot.mfpca

Graphical representation for MFPCA
mfpca

Functional Principal Component Analysis for Univariate or Multivariate Functional Data
predict.funHDDC

Predict new results from a funHDDC model
slopeHeuristic

Calculate slope heuristic
triangle

Simulated functional bivariate dataset.
trigo

Simulated functional univariate dataset
funHDDC

Clustering Univariate and Multivariate Functional Data in Group-specific Functional Subspaces