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: |
2.1.2 |
| Depends: |
R (≥ 3.2.0), proxy, dtw, ggplot2, rngtools |
| Imports: |
stats, utils, methods, flexclust, caTools, reshape2, foreach, parallel, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
TSdist, TSclust, doParallel, testthat |
| Published: |
2016-06-06 |
| 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 |