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funHDDC  

Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
View on CRAN: Click here


Download and install funHDDC package within the R console
Install from CRAN:
install.packages("funHDDC")

Install from Github:
library("remotes")
install_github("cran/funHDDC")

Install by package version:
library("remotes")
install_version("funHDDC", "2.3.1.1")



Attach the package and use:
library("funHDDC")
Maintained by
Charles Bouveyron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-08
Latest Update:
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.
How to cite:
Charles Bouveyron (2014). funHDDC: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces. R package version 2.3.1.1, https://cran.r-project.org/web/packages/funHDDC. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 1.0 (2014-09-08 19:15), 2.0 (2018-04-18 18:48), 2.1.0 (2018-08-13 10:50), 2.2.0 (2018-10-08 23:30), 2.3.0 (2019-04-19 23:00), 2.3.1 (2021-03-17 11:40)
Other packages that cited funHDDC R package
View funHDDC citation profile
Other R packages that funHDDC depends, imports, suggests or enhances
Complete documentation for funHDDC
Functions, R codes and Examples using the funHDDC R package
Some associated functions: funHDDC . mfpca . plot.fd . plot.mfpca . predict.funHDDC . slopeHeuristic . triangle . trigo . 
Some associated R codes: funHDDC.R . mfpca.R . plot.fd.R . plot.mfpca.R . predict.funHDDC.R . slopeHeuristic.R .  Full funHDDC package functions and examples
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