https://github.com/stephanielees/shapeletslts-humansensor

using Learning Time-series Shapelets to learn shapelets in a human sensor dataset.
https://github.com/stephanielees/shapeletslts-humansensor

Last synced: 2 days ago
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using Learning Time-series Shapelets to learn shapelets in a human sensor dataset.

• Host: GitHub
• URL: https://github.com/stephanielees/shapeletslts-humansensor
• Owner: stephanielees
• Created: 2023-12-23T17:08:31.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-23T17:47:03.000Z (about 1 year ago)
• Last Synced: 2024-11-08T15:12:39.578Z (about 2 months ago)
• Language: Jupyter Notebook
• Size: 784 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# shapeletsLTS-humansensor

Goal: Using Learning Time-series Shapelets to learn shapelets in a human sensor dataset and classify it as either 'state_0' or 'state_1'.

Shapelets are subsequences of time series which could tell us immediately what group is the right one for an input sequence. Learning Time-series Shapelets (LTS) is one of many algorithms for shapelets. LTS inventors make the problem of finding shapelets as a learning problem. LTS is implemented by Python library tslearn. Watch my presentation for further explanation: https://youtu.be/u69v5gm_zBk