funHDDC: Univariate and Multivariate Model-Based Clustering in
Group-Specific Functional Subspaces
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.
| Version: |
2.0 |
| Depends: |
MASS, fda, R (≥ 3.1.0) |
| Published: |
2018-04-18 |
| Author: |
A Schmutz, J. Jacques & C. Bouveyron |
| Maintainer: |
Charles Bouveyron <charles.bouveyron at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| In views: |
Cluster, FunctionalData |
| CRAN checks: |
funHDDC results |
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