dtw (1.13-1)

Dynamic Time Warping algorithms.


Comprehensive implementation of Dynamic Time Warping algorithms in R. DTW finds the optimal (least cumulative distance) mapping between two time series. All common DTW variants are covered, including local and global constraints, arbitrary timeseries lenghts, distance definitions, MVM, etc. Package computes cumulative distance, warping functions, plots, normalizations, etc.

Maintainer: Toni Giorgino
Author(s): Toni Giorgino <toni.giorgino@gmail.com>,

License: GPL (>= 2)

Uses: proxy, proxy
Enhances: proxy
Reverse depends: ChemometricsWithR, dtwclust, dtwSat, mFLICA, TSclust, verification, VLTimeCausality
Reverse suggests: ChemometricsWithR, IncDTW, parallelDist, refund, rucrdtw

Released over 10 years ago.