README.txt

DTW (Dynamic Time Warping)
==========================

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
---------

1.  Sakoe, H.; Chiba, S., Dynamic programming algorithm optimization for
    spoken word recognition, Acoustics, Speech, and Signal Processing

2.  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.

3.  Toni Giorgino (2009). Computing and Visualizing Dynamic Time Warping
    Alignments in R: The dtw Package. Journal of Statistical Software,
    31(7), 1-24.