https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping
Python implementation of KNN and DTW classification algorithm
https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping
classification-algorithm dynamic-programming dynamic-time-warping human-activity-recognition machine-learning nearest-neighbors timeseries
Last synced: about 2 months ago
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Python implementation of KNN and DTW classification algorithm
- Host: GitHub
- URL: https://github.com/markdregan/K-Nearest-Neighbors-with-Dynamic-Time-Warping
- Owner: markdregan
- Created: 2014-07-22T15:19:30.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2018-10-03T16:18:46.000Z (over 6 years ago)
- Last Synced: 2025-04-26T10:02:24.297Z (about 2 months ago)
- Topics: classification-algorithm, dynamic-programming, dynamic-time-warping, human-activity-recognition, machine-learning, nearest-neighbors, timeseries
- Language: Jupyter Notebook
- Size: 59.5 MB
- Stars: 783
- Watchers: 23
- Forks: 215
- Open Issues: 7
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Metadata Files:
- Readme: README.md