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.
| Version: | 2.3.0 |
| Depends: | MASS, fda, R (≥ 3.1.0) |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-04-19 |
| 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 |
| Reference manual: | funHDDC.pdf |
| Vignettes: |
funHDDC |
| Package source: | funHDDC_2.3.0.tar.gz |
| Windows binaries: | r-devel: funHDDC_2.3.0.zip, r-release: funHDDC_2.3.0.zip, r-oldrel: funHDDC_2.3.0.zip |
| macOS binaries: | r-release: funHDDC_2.3.0.tgz, r-oldrel: funHDDC_2.3.0.tgz |
| Old sources: | funHDDC archive |
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