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 25 Jun. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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