funcy: Functional Clustering Algorithms

Unified framework to cluster functional data according to one of seven models. All models are based on the projection of the curves onto a basis. The main function funcit() calls wrapper functions for the existing algorithms, so that input parameters are the same. A list is returned with each entry representing the same or extended output for the corresponding method. Method specific as well as general visualization tools are available.

Version: 1.0.1
Depends: flexclust, splines
Imports: MASS, Matrix, fda, methods, wavethresh, kernlab, parallel, car, fields, calibrate, cluster, sm, plyr
Suggests: scatterplot3d, funHDDC, testthat
Published: 2019-03-29
Author: Christina Yassouridis [aut, cre], Dominik Ernst [ctb], Madison Giacofci [ctb], Sophie Lambert-Lacroix [ctb], Guillemette Marot [ctb], Franck Picard [ctb], Nicoleta Serban [ctb], Huijing Jiang [ctb], Gareth James [ctb], Catherine Sugar [ctb], Hans-Georg Mueller [ctb], Jie Peng [ctb], Chiou Jeng-Min [ctb], Pai-Ling Li [ctb]
Maintainer: Christina Yassouridis <chris.yassou at gmail.com>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: funcy citation info
Materials: NEWS
CRAN checks: funcy results

Downloads:

Reference manual: funcy.pdf
Package source: funcy_1.0.1.tar.gz
Windows binaries: r-devel: funcy_1.0.1.zip, r-devel-gcc8: funcy_1.0.1.zip, r-release: funcy_1.0.1.zip, r-oldrel: funcy_1.0.1.zip
OS X binaries: r-release: funcy_1.0.1.tgz, r-oldrel: funcy_1.0.1.tgz
Old sources: funcy archive

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