Welcome to dtwalign’s documentation!

Comprehensive dynamic time warping module for python.

Installation

pip install dtwalign

Contents:

• Features
  • Fast computation
  • Partial alignment
  • Local constraint (step pattern)
  • Global constraint (windowing)
  • Alignment path visualization
• Tutorial
  • Basic Usage
  • Advanced Usage
• API Reference
  • DTW
  • Result
  • Step patterns
  • Windows

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.

Indices and tables

• Index
• Module Index
• Search Page