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.
| Version: | 2.3.0 |
| Depends: | R (≥ 3.2.0), proxy (≥ 0.4-16), dtw, ggplot2 |
| Imports: | methods, parallel, stats, utils, caTools, flexclust, foreach, Rcpp, reshape2, rngtools |
| LinkingTo: | Rcpp |
| Suggests: | TSdist, TSclust, doParallel, testthat, knitr |
| Published: | 2016-10-03 |
| Author: | Alexis Sarda-Espinosa |
| Maintainer: | Alexis Sarda <alexis.sarda at gmail.com> |
| BugReports: | https://github.com/asardaes/dtwclust/issues |
| License: | GPL-3 |
| URL: | https://github.com/asardaes/dtwclust |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | dtwclust results |
| Reference manual: | dtwclust.pdf |
| Vignettes: |
Comparing Time-Series Clustering Algorithms in R Using the dtwclust Package |
| Package source: | dtwclust_2.3.0.tar.gz |
| Windows binaries: | r-devel: dtwclust_2.3.0.zip, r-release: dtwclust_2.3.0.zip, r-oldrel: dtwclust_2.3.0.zip |
| OS X Mavericks binaries: | r-release: dtwclust_2.3.0.tgz, r-oldrel: dtwclust_2.3.0.tgz |
| Old sources: | dtwclust archive |
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