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Funclustering (version 1.0.2)

Functional Data Clustering

Description

This package 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.

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Version

Install

install.packages('Funclustering')

Monthly Downloads

19

Version

1.0.2

License

GPL (>= 2)

Maintainer

ORPHANED

Last Published

November 24th, 2018

Functions in Funclustering (1.0.2)

cppUniData

The C++ code, of this package take to run from the data two main information. the coefficient in the basis expansion of the functional data, and the inner product between theses basis. cppUnidata made this task in the univariate case.
harmsCut

Separates the matrices of the coefficients of harmonics
plotOC

plot Original Curves
mfpcaPlot

Plot multivariate functional pca
mfpca

Multivariate functional pca
funclust

funclust, clustering multivariate functional data
cppMultiData

The C++ code, of this package take to run from the data two main information. the coefficient in the basis expansion of the functional data, and the inner product between theses basis. cppMultidata made this task in the multivariate case.
Output-class

Constructor of Output class
Funclustering-package

A package for functional data clustering.
Input-class

Constructor of Input class
plotfd

plot a functional data object