Funclustering: A package for functional data clustering

This packages proposes a model-based clustering algorithm for multivariate functional data. The parametric mixture model, based on the assumption of normality of the principal components resulting from a multivariate functional PCA, is estimated by an EM-like algorithm. The main advantage of the proposed algorithm is its ability to take into account the dependence among curves.

Version: 1.0.1
Depends: fda (≥ 2.2.6), R (≥ 2.15.1), methods
Imports: Rcpp (≥ 0.10.3)
LinkingTo: Rcpp, RcppEigen
Published: 2014-01-15
Author: Mohamed Soueidatt,*.
Maintainer: Vincent KUBICKI <vincent.kubicki at inria.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Mohamed Soueidatt
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: Funclustering results

Downloads:

Reference manual: Funclustering.pdf
Package source: Funclustering_1.0.1.tar.gz
OS X binary: Funclustering_1.0.1.tgz
Windows binary: Funclustering_1.0.1.zip
Old sources: Funclustering archive