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.


funcy version 0.8.6


  • R/plot.R:
  1. added xlab=NULL, ylab=NULL to plotFuncy: xlab and ylab can now be set. They are void if nothing was set.

  2. plotOverview: changed mar=c(3,2,3,10) to mar=c(3,2,3,1)

*R/xecute.R method "summary" for "funcyOutList": changed cat("\n") to cat("\n")

  1. functions.R added polynomial basis (create.monomial.basis)

  2. funct.Rd for method "iterSubspace" parameter name simplify was changed to simplif (as implemented)

Reference manual

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0.8.6 by Christina Yassouridis, a year ago

Browse source code at

Authors: 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]

Documentation:   PDF Manual  

Task views: Functional Data Analysis

GPL-2 license

Imports MASS, Matrix, fda, methods, wavethresh, kernlab, parallel, car, fields, calibrate, cluster, sm, caTools, plyr

Depends on flexclust, splines

Suggests scatterplot3d, Funclustering, funHDDC

See at CRAN