Other packages > Find by keyword >

dtwclust  

Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
View on CRAN: Click here


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]
All associated links for this package
First Published: 2015-08-02
Latest Update: 2024-07-23
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 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:33), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
wordnet  
WordNet Interface
An interface to WordNet using the Jawbone Java API to WordNet. WordNet (< ...
Download / Learn more Package Citations See dependency  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA