DTAIDistance
Time series distances (DTW, ED), clustering and subsequence search
Description:
Library for time series distances (e.g. Dynamic Time Warping). The library offers a pure Python implementation and a fast implementation in C. The C implementation has only Cython as a dependency. It is compatible with Numpy and Pandas and implemented to avoid unnecessary data copy operations.
More Information:
- Grand Challenge/Workpackage(s): GC1 - WP1, WP2
- Responsible Research Lead: Jesse Davis, Hendrik Blockeel, Luc De Raedt
- Authors: Wannes Meert, Aras Yurtman, Kilian Hendrickx, Pieter Robberechts
- Programming Language: Python and C
- Link to the repository
- Categories: Time series, anomaly detection, un/semi-supervised learning
