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.

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Description file content

Package
funHDDC
Type
Package
Title
Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
Version
2.3.0
Author
A Schmutz, J. Jacques & C. Bouveyron
Maintainer
Charles Bouveyron
Depends
MASS,fda, R (>= 3.1.0)
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.
License
GPL-2
Encoding
UTF-8
LazyData
false
RoxygenNote
6.0.1
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-04-19 04:16:05 UTC; bouveyro
Repository
CRAN
Date/Publication
2019-04-19 21:00:07 UTC

install.packages('funHDDC')

2.3.0

a month ago

Charles Bouveyron

GPL-2

Depends on

MASS,fda, R (>= 3.1.0)

Suggests

knitr, rmarkdown

Discussions