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 0.8.5

  • R/plotFSCM.R:
  1. plotOverview: regTime is now reflected on x-axis.

  2. plotOverview: showLegend can now be set to FALSE

  3. plot type dist2centers: removed legend, added center curves

  • R/plot.R: changed cex of function plotLoc
  • R/xecute.R:
  1. added rownames of props (rownames(props) <- object@methodName)

  2. changed stop("Please select one method or methods=ALL.") to stop("Please select one method or methods='ALL'.")

Reference manual

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0.8.6 by Christina Yassouridis, 10 months 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