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IncDTW  

Incremental Calculation of Dynamic Time Warping
View on CRAN: Click here


Download and install IncDTW package within the R console
Install from CRAN:
install.packages("IncDTW")

Install from Github:
library("remotes")
install_github("cran/IncDTW")

Install by package version:
library("remotes")
install_version("IncDTW", "1.1.4.6")



Attach the package and use:
library("IncDTW")
Maintained by
Maximilian Leodolter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-03
Latest Update: 2022-03-16
Description:
The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) 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) . For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) .
How to cite:
Maximilian Leodolter (2017). IncDTW: Incremental Calculation of Dynamic Time Warping. R package version 1.1.4.6, https://cran.r-project.org/web/packages/IncDTW. Accessed 06 Oct. 2026.
Previous versions and publish date:
0.1.0 (2017-07-03 13:00), 0.1.1 (2017-08-04 12:51), 0.1.2 (2017-08-23 14:40), 0.1.3 (2017-08-23 22:03), 1.0.0 (2017-10-10 10:59), 1.0.1 (2018-01-13 15:41), 1.0.2 (2018-05-11 21:59), 1.0.3 (2018-05-14 09:59), 1.0.4 (2018-09-11 10:10), 1.0.5 (2019-01-03 16:20), 1.1.0 (2019-04-08 17:22), 1.1.1 (2019-05-24 13:50), 1.1.2 (2019-06-27 10:40), 1.1.3.1 (2020-04-01 08:02), 1.1.3 (2019-12-18 23:50), 1.1.4.2 (2020-10-09 10:30), 1.1.4.3 (2021-09-23 18:10), 1.1.4.4 (2022-03-16 16:50), 1.1.4.5 (2025-10-07 22:40), (2026-07-09 08:07)
Other packages that cited IncDTW R package
View IncDTW citation profile
Other R packages that IncDTW depends, imports, suggests or enhances
Complete documentation for IncDTW
Functions, R codes and Examples using the IncDTW R package
Some associated functions: DBA . IncDTW-package . dec_dm . drink_glass . dtw . dtw2vec . dtw_dismat . dtw_partial . find_peaks . idtw . idtw2vec . initialize_plane . lowerbound . plot_dba . plot_idtw . plot_rundtw . rundtw . scale . simulate_timewarp . 
Some associated R codes: DBA.R . RcppExports.R . data_simulation.R . dtw.R . idtw.R . rundtw.R . s3_is_print.R . s3_plot.R . s3_print.R . s3_summary.R .  Full IncDTW package functions and examples
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