funHDDC (2.3.0)

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Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces.

http://cran.r-project.org/web/packages/funHDDC

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.

Maintainer: Charles Bouveyron
Author(s): A Schmutz, J. Jacques & C. Bouveyron

License: GPL-2

Uses: fda, MASS, knitr, rmarkdown
Reverse suggests: funcy

Released 2 months ago.


4 previous versions

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