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fdacluster
View on CRAN: Click
here
Download and install fdacluster package within the R console
Install from CRAN:
install.packages("fdacluster")
Install from Github:
library("remotes")
install_github("cran/fdacluster") Install by package version:
library("remotes")
install_version("fdacluster", "0.4.2") Attach the package and use:
library("fdacluster")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-01
Latest Update: 2025-01-14
Description:
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" . Main reference for
the SRSF framework: Tucker, J. D., Wu, W., & Srivastava, A. (2013)
"Generative models for functional data using phase and amplitude separation"
.
How to cite:
Aymeric Stamm (2022). fdacluster: Joint Clustering and Alignment of Functional Data. R package version 0.4.2, https://cran.r-project.org/web/packages/fdacluster. Accessed 22 Sep. 2026.
Previous versions and publish date:
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Complete documentation for fdacluster
Functions, R codes and Examples using
the fdacluster R package
Some associated functions: autoplot.caps . autoplot.mcaps . caps . compare_caps . diagnostic_plot . fdacluster-package . fdadbscan . fdadist . fdahclust . fdakmeans . lp . plot.caps . plot.mcaps . sim30_caps . sim30_mcaps . simulated30 . simulated30_sub . simulated90 .
Some associated R codes: RcppExports.R . caps-class.R . caps-diagnostic.R . caps-plot.R . compare-caps.R . data.R . fdacluster-package.R . fdadbscan.R . fdadist.R . fdahclust.R . fdakmeans.R . lp-export.R . utils.R . zzz.R . Full fdacluster package functions and examples
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