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fdacluster  

Joint Clustering and Alignment of Functional Data
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]
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 13 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-02-01 20:00), 0.1.1 (2022-05-09 14:10), 0.2.0 (2023-05-18 11:50), 0.2.1 (2023-05-19 16:00), 0.2.2 (2023-05-25 12:20), 0.3.0 (2023-07-04 17:53), 0.4.0 (2025-01-12 19:00), 0.4.1 (2025-01-14 17:50)
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