https://github.com/heshanera/dtw
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.
https://github.com/heshanera/dtw
dtw dynamic-time-warping time-series
Last synced: about 1 year ago
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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.
- Host: GitHub
- URL: https://github.com/heshanera/dtw
- Owner: heshanera
- Created: 2018-06-24T19:03:39.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-06-24T19:39:19.000Z (almost 8 years ago)
- Last Synced: 2025-03-27T07:21:19.366Z (about 1 year ago)
- Topics: dtw, dynamic-time-warping, time-series
- Language: C++
- Homepage:
- Size: 896 KB
- Stars: 7
- Watchers: 2
- Forks: 4
- Open Issues: 1