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dtwclust
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Download and install dtwclust package within the R console
Install from CRAN:
install.packages("dtwclust")
Install from Github:
library("remotes")
install_github("cran/dtwclust")
Install by package version:
library("remotes")
install_version("dtwclust", "6.0.0")
Attach the package and use:
library("dtwclust")
Maintained by
Alexis Sarda
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dtwclust . https://github.com/asardaes/dtwclust/issues . https://github.com/asardaes/dtwclust . dtwclust citation info . dtwclust results . dtwclust.pdf . Parallelization considerations for dtwclust . Timing experiments for dtwclust . Comparing Time-Series Clustering Algorithms in R Using the dtwclust Package . dtwclust_6.0.0.tar.gz . dtwclust_6.0.0.zip . dtwclust_6.0.0.zip . dtwclust_6.0.0.zip . dtwclust_6.0.0.tgz . dtwclust_6.0.0.tgz . dtwclust_6.0.0.tgz . dtwclust_6.0.0.tgz . dtwclust_6.0.0.tgz . dtwclust_6.0.0.tgz . dtwclust archive . https://CRAN.R-project.org/package=dtwclust .
First Published: 2015-08-02
Latest Update: 2023-02-28
Description:
Time series clustering along with optimized techniques related
to the Dynamic Time Warping distance and its corresponding lower bounds.
Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole
clustering are available. Functionality can be easily extended with
custom distance measures and centroid definitions. Implementations of
DTW barycenter averaging, a distance based on global alignment kernels,
and the soft-DTW distance and centroid routines are also provided.
All included distance functions have custom loops optimized for the
calculation of cross-distance matrices, including parallelization support.
Several cluster validity indices are included.
How to cite:
Alexis Sarda (2015). dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance. R package version 6.0.0, https://cran.r-project.org/web/packages/dtwclust. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2015-08-02 16:02), 1.0.0 (2015-08-23 17:36), 1.1.0 (2015-09-12 17:20), 1.2.0 (2015-11-15 10:08), 1.3.0 (2015-12-11 13:31), 2.0.0 (2016-01-03 16:29), 2.1.0 (2016-02-21 16:27), 2.1.1 (2016-03-21 00:29), 2.1.2 (2016-06-06 06:39), 2.2.0 (2016-09-02 14:54), 2.2.1 (2016-09-04 09:36), 2.3.0 (2016-10-03 23:12), 3.0.0 (2016-12-01 11:28), 3.1.0 (2017-01-08 11:20), 3.1.1 (2017-02-12 15:47), 3.1.2 (2017-04-01 15:08), 3.2.0 (2017-05-01 12:21), 4.0.0 (2017-06-05 19:40), 4.0.1 (2017-06-08 14:10), 4.0.2 (2017-07-09 16:26), 4.0.3 (2017-08-09 22:33), 4.1.0 (2017-09-11 10:23), 4.1.1 (2017-09-12 01:13), 5.0.0 (2017-12-09 10:58), 5.1.0 (2017-12-19 20:38), 5.2.0 (2018-01-29 20:25), 5.3.0 (2018-03-05 20:29), 5.3.1 (2018-04-08 09:18), 5.4.0 (2018-05-12 18:26), 5.4.1 (2018-06-10 18:43), 5.5.0 (2018-07-21 16:50), 5.5.1 (2018-09-25 09:40), 5.5.2 (2019-03-09 16:12), 5.5.3 (2019-06-29 22:40), 5.5.4 (2019-07-07 06:30), 5.5.5 (2019-09-19 10:50), 5.5.6 (2019-12-11 09:20), 5.5.7 (2022-01-13 01:52), 5.5.8 (2022-02-12 15:40), 5.5.9 (2022-03-16 22:40), 5.5.10 (2022-04-15 02:02), 5.5.11 (2022-09-24 19:00), 5.5.12 (2023-02-28 21:52)
Other packages that cited dtwclust R package
View dtwclust citation profile
Other R packages that dtwclust depends,
imports, suggests or enhances
Complete documentation for dtwclust
Functions, R codes and Examples using
the dtwclust R package
Some associated functions: DBA . Distmat-class . Distmat-generics . GAK . NCCc . PairTracker-class . SBD . SparseDistmat-class . SparseDistmat-generics . TADPole . TSClusters-class . as.matrix . compare_clusterings . compare_clusterings_configs . compute_envelope . cvi . cvi_evaluators . dtw2 . dtw_basic . dtw_lb . dtwclust-package . dtwclustTimings . explore__plot . explore__tidy_series . interactive_clustering . lb_improved . lb_keogh . pam_cent . parse_input . pdc_configs . reinterpolate . repeat_clustering . sdtw . sdtw_cent . shape_extraction . ssdtwclust . tsclust-controls . tsclust . tsclustFamily-class . tsclusters-methods . tslist . uciCT . zscore .
Some associated R codes: CENTROIDS-dba.R . CENTROIDS-pam.R . CENTROIDS-sdtw-cent.R . CENTROIDS-shape-extraction.R . CLUSTERING-all-cent2.R . CLUSTERING-compare-clusterings.R . CLUSTERING-cvi-evaluators.R . CLUSTERING-ddist2.R . CLUSTERING-partitional-fuzzy.R . CLUSTERING-repeat-clustering.R . CLUSTERING-tadpole.R . CLUSTERING-tsclust-controls.R . CLUSTERING-tsclust.R . DISTANCES-dtw-basic.R . DISTANCES-dtw-lb.R . DISTANCES-dtw2.R . DISTANCES-gak.R . DISTANCES-lb-improved.R . DISTANCES-lb-keogh.R . DISTANCES-sbd.R . DISTANCES-sdtw.R . GENERICS-cvi.R . S4-Distmat.R . S4-PairTracker.R . S4-SparseDistmat.R . S4-TSClusters-classes.R . S4-TSClusters-methods.R . S4-tsclustFamily.R . SHINY-interactive-clustering.R . SHINY-ssdtwclust.R . SHINY-utils.R . UTILS-as-methods.R . UTILS-compute-envelope.R . UTILS-data.R . UTILS-expressions.R . UTILS-globals-internal.R . UTILS-nccc.R . UTILS-reinterpolate.R . UTILS-rng.R . UTILS-tslist.R . UTILS-utils.R . UTILS-zscore.R . pkg.R . Full dtwclust package functions and examples
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