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: | 5.5.6 |
| Depends: | R (≥ 3.2.0), methods, proxy (≥ 0.4-16), dtw |
| Imports: | parallel, stats, utils, bigmemory, clue, cluster, dplyr, flexclust, foreach, ggplot2, ggrepel, Matrix, nloptr, RSpectra, Rcpp, RcppParallel (≥ 4.4.0), reshape2, shiny, shinyjs |
| LinkingTo: | Rcpp, RcppArmadillo, RcppParallel, RcppThread |
| Suggests: | doParallel, knitr, rmarkdown, testthat |
| Published: | 2019-12-11 |
| 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: | C++11, 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_5.5.6.tar.gz |
| Windows binaries: | r-devel: dtwclust_5.5.6.zip, r-release: dtwclust_5.5.6.zip, r-oldrel: dtwclust_5.5.6.zip |
| macOS binaries: | r-release: dtwclust_5.5.6.tgz, r-oldrel: dtwclust_5.5.6.tgz |
| Old sources: | dtwclust archive |
| Reverse suggests: | IncDTW |
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