Comprehensive DTW package which enables partial mathing and has various constraint options
Project description
Comprehensive dynamic time warping module for python.
Features
Fast computation by [Numba](https://numba.pydata.org)
Local constraint (step pattern)
Global constraint (windowing)
Alignment path visualization
Reference
Sakoe, H.; Chiba, S., Dynamic programming algorithm optimization for spoken word recognition, Acoustics, Speech, and Signal Processing
Paolo Tormene, Toni Giorgino, Silvana Quaglini, Mario Stefanelli (2008). Matching Incomplete Time Series with Dynamic Time Warping: An Algorithm and an Application to Post-Stroke Rehabilitation. Artificial Intelligence in Medicine, 45(1), 11-34.
Toni Giorgino (2009). Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package. Journal of Statistical Software, 31(7), 1-24.
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