dynamic time warping implemented in C++ with bindings in python
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Updated
Mar 22, 2023 - C++
dynamic time warping implemented in C++ with bindings in python
Dynamic Time Warping Algorithm can be used to measure similarity between 2 time series. Objective of the algorithm is to find the optimal global alignment between the two time series, by exploiting temporal distortions between the 2 time series.
An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.
Dynamic Time Warping single header library for C++
Dynamic Time Warping (DTW) library implementing lower bounds (LB_Keogh, LB_Improved...)
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