fdacluster: Joint Clustering and Alignment of Functional Data

Implementations of the k-means, hierarchical agglomerative and DBSCAN clustering methods for functional data which allows for jointly aligning and clustering curves. It supports functional data defined on one-dimensional domains but possibly evaluating in multivariate codomains. It supports functional data defined in arrays but also via the 'fd' and 'funData' classes for functional data defined in the 'fda' and 'funData' packages respectively. It currently supports shift, dilation and affine warping functions for functional data defined on the real line and uses the SRSF framework to handle boundary-preserving warping for functional data defined on a specific interval. Main reference for the k-means algorithm: Sangalli L.M., Secchi P., Vantini S., Vitelli V. (2010) "k-mean alignment for curve clustering" <doi:10.1016/j.csda.2009.12.008>. Main reference for the SRSF framework: Tucker, J. D., Wu, W., & Srivastava, A. (2013) "Generative models for functional data using phase and amplitude separation" <doi:10.1016/j.csda.2012.12.001>.

Version:	0.3.0
Depends:	R (≥ 3.5.0)
Imports:	cli, cluster, dbscan, dplyr, fdasrvf, forcats, furrr, ggplot2, lpSolve, nloptr, progressr, purrr, Rcpp, rlang, tibble, tidyr, withr
LinkingTo:	Rcpp, RcppArmadillo, nloptr
Suggests:	fda, funData, future, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2023-07-04
DOI:	10.32614/CRAN.package.fdacluster
Author:	Aymeric Stamm [aut, cre], Laura Sangalli [ctb], Piercesare Secchi [ctb], Simone Vantini [ctb], Valeria Vitelli [ctb], Alessandro Zito [ctb]
Maintainer:	Aymeric Stamm <aymeric.stamm at cnrs.fr>
License:	GPL (≥ 3)
URL:	https://astamm.github.io/fdacluster/index.html, https://github.com/astamm/fdacluster
NeedsCompilation:	yes
Materials:	README NEWS
In views:	FunctionalData
CRAN checks:	fdacluster results

Documentation:

Reference manual:	fdacluster.pdf
Vignettes:	Analysis of Berkeley growth data Computing initial centroids in k-means

Downloads:

Package source:	fdacluster_0.3.0.tar.gz
Windows binaries:	r-devel: fdacluster_0.3.0.zip, r-release: fdacluster_0.3.0.zip, r-oldrel: fdacluster_0.3.0.zip
macOS binaries:	r-release (arm64): fdacluster_0.3.0.tgz, r-oldrel (arm64): fdacluster_0.3.0.tgz, r-release (x86_64): fdacluster_0.3.0.tgz, r-oldrel (x86_64): fdacluster_0.3.0.tgz
Old sources:	fdacluster archive

Reverse dependencies:

Reverse imports:	squat
Reverse linking to:	squat

Linking:

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