https://github.com/modal-inria/funclustering

Model-based clustering algorithm for multivariate functional data
https://github.com/modal-inria/funclustering

clustering functional-data-analysis functional-data-clustering r

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Model-based clustering algorithm for multivariate functional data

• Host: GitHub
• URL: https://github.com/modal-inria/funclustering
• Owner: modal-inria
• Created: 2020-02-19T14:24:05.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-21T09:28:59.000Z (about 4 years ago)
• Last Synced: 2024-11-11T22:26:42.341Z (2 months ago)
• Topics: clustering, functional-data-analysis, functional-data-clustering, r
• Language: C++
• Homepage:
• Size: 44.9 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Funclustering

[![R-CMD-check](https://github.com/modal-inria/Funclustering/workflows/R-CMD-check/badge.svg)](https://github.com/modal-inria/Funclustering/actions)

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/Funclustering)](https://cran.r-project.org/package=Funclustering) [![Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/Funclustering?color=blue)](http://cranlogs.r-pkg.org/badges/grand-total/Funclustering) [![Downloads](https://cranlogs.r-pkg.org/badges/Funclustering)](https://cran.rstudio.com/web/packages/Funclustering/index.html)

The code was originally on an [R-forge repository](https://r-forge.r-project.org/projects/soueidatt/).

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.

## Installation

From github:

``` r

library(devtools)

install_github("modal-inria/Funclustering")

```

## Credits

**Funclustering** is developed by Mohamed Soueidatt, Julien Jacques and Christophe Biernacki with contribution of Vincent Kubicki and Quentin Grimonprez

Copyright Inria - Université de Lille

## Licence

This program is free software: you can redistribute it and/or modify

it under the terms of the GNU Affero General Public License as

published by the Free Software Foundation, either version 3 of the

License, or (at your option) any later version.

This program is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

[GNU Affero General Public License](https://www.gnu.org/licenses/agpl-3.0.en.html) for more details.

## References

* J.Jacques and C.Preda (2013), Funclust: a curves clustering method using functional random variable density approximation, Neurocomputing, 112, 164-171.

* J.Jacques and C.Preda (2013), Model-based clustering of multivariate functional data, Computational Statistics and Data Analysis, in press DOI 10.1016/j.csda.2012.12.004.