The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 6.0.0 |
| Depends: | R (≥ 3.3.0), methods, proxy (≥ 0.4-16), dtw |
| Imports: | parallel, stats, utils, clue, cluster, dplyr, flexclust, foreach, ggplot2, ggrepel, rlang, Matrix (≥ 1.5-0), RSpectra, Rcpp, RcppParallel (≥ 4.4.0), reshape2, shiny, shinyjs |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel, RcppThread |
| Suggests: | doParallel, iterators, knitr, rmarkdown, testthat |
| Published: | 2024-07-23 |
| DOI: | 10.32614/CRAN.package.dtwclust |
| Author: | Alexis Sarda-Espinosa |
| Maintainer: | Alexis Sarda <alexis.sarda at gmail.com> |
| BugReports: | https://github.com/asardaes/dtwclust/issues |
| License: | GPL-3 |
| Copyright: | see file COPYRIGHTS |
| URL: | https://github.com/asardaes/dtwclust |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | dtwclust citation info |
| Materials: | NEWS |
| In views: | TimeSeries |
| CRAN checks: | dtwclust results |
| Reference manual: | dtwclust.pdf |
| Vignettes: |
Parallelization considerations for dtwclust Timing experiments for dtwclust Comparing Time-Series Clustering Algorithms in R Using the dtwclust Package |
| Package source: | dtwclust_6.0.0.tar.gz |
| Windows binaries: | r-devel: dtwclust_6.0.0.zip, r-release: dtwclust_6.0.0.zip, r-oldrel: dtwclust_6.0.0.zip |
| macOS binaries: | r-release (arm64): dtwclust_6.0.0.tgz, r-oldrel (arm64): dtwclust_6.0.0.tgz, r-release (x86_64): dtwclust_6.0.0.tgz, r-oldrel (x86_64): dtwclust_6.0.0.tgz |
| Old sources: | dtwclust archive |
| Reverse imports: | ddc, harbinger, sensitivity, sephora, WOAkMedoids, WormTensor |
| Reverse suggests: | IncDTW, latrend, regional, sits |
Please use the canonical form https://CRAN.R-project.org/package=dtwclust to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.