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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.
Getting started
Browse package contents
Package details |
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| Author | A Schmutz [aut], J. Jacques & C. Bouveyron [aut], Julien Jacques [cre] |
| Maintainer | Julien Jacques <julien.jacques@univ-lyon2.fr> |
| License | GPL-2 |
| Version | 2.3.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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