The Dynamic Time Warping (DTW) distance for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. Beside the traditional implementation of the DTW algorithm, the specialities of this package are, (1) the incremental calculation, which is specifically useful for life data streams due to computationally efficiency, (2) the vector based implementation of the traditional DTW algorithm which is faster because no matrices are allocated and is especially useful for computing distance matrices of pairwise DTW distances for many time series and (3) the combination of incremental and vector-based calculation. C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <doi:10.1109/TASSP.1978.1163055>.
| Version: | 1.0.4 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.12.8), RcppParallel, ggplot2, scales, parallel, stats, data.table |
| LinkingTo: | Rcpp, RcppParallel, RcppArmadillo |
| Suggests: | knitr, dtw, rmarkdown, gridExtra, testthat, dtwclust, parallelDist, microbenchmark, rucrdtw, proxy |
| Published: | 2018-09-11 |
| Author: | Maximilian Leodolter |
| Maintainer: | Maximilian Leodolter <maximilian.leodolter at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | IncDTW results |
| Reference manual: | IncDTW.pdf |
| Vignettes: |
Incremental Dynamic Time Warping Incremental Dynamic Time Warping |
| Package source: | IncDTW_1.0.4.tar.gz |
| Windows binaries: | r-devel: IncDTW_1.0.4.zip, r-release: IncDTW_1.0.4.zip, r-oldrel: IncDTW_1.0.4.zip |
| OS X binaries: | r-release: IncDTW_1.0.4.tgz, r-oldrel: IncDTW_1.0.4.tgz |
| Old sources: | IncDTW archive |
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