Computing and Visualizing Dynamic Time Warping Alignments inR: ThedtwPackage

Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package

This introduction to the R package dtw is a (slightly) modified version of Giorgino (2009), published in the Journal of Statistical Software. Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other. A variety o...

Derivative Dynamic Time Warping

Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data is comparing one sequence with another. In some domains a very simple distance measure, such as Euclidean distance will suffice. However, it is often the case that two sequences have the approximately the same overall component shapes, but these shapes do not line up...

shapeDTW: Shape Dynamic Time Warping

Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments. DTW is essentially a point-to-point matching method under some boundary and temporal consistency constraints. Although DTW obtains a global optimal solution, it does not necessarily achieve locally sensible m...

Dynamic Time Warping Algorithm Review

Correlation Based Dynamic Time Warping

Dynamic Time Warping (DTW) is a widely used technique for univariate time series comparison. This paper proposes a new algorithm for the comparison of multivariate time series which generalize DTW for the needs of correlated multivariate time series.