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GitHub / protti / FeatTS

FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/protti%2FFeatTS

Stars: 14
Forks: 1
Open Issues: 10

License: gpl-3.0
Language: Python
Repo Size: 21.9 MB
Dependencies: 8

Created: almost 4 years ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 8 months ago

Topics: clustering, features-extraction, papers, time-series, time-series-clustering

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    Readme
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    Dependencies
    requirements.txt pypi