https://github.com/imartinezl/tsclust

Efficient clustering of time series 📈📉
https://github.com/imartinezl/tsclust

average clustering data-science dynamic-time-warping machine-learning stream time-series time-series-analysis

Last synced: 3 days ago
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Efficient clustering of time series 📈📉

• Host: GitHub
• URL: https://github.com/imartinezl/tsclust
• Owner: imartinezl
• License: mit
• Created: 2020-11-25T15:01:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-08-09T21:32:56.000Z (over 2 years ago)
• Last Synced: 2026-03-26T15:01:54.680Z (15 days ago)
• Topics: average, clustering, data-science, dynamic-time-warping, machine-learning, stream, time-series, time-series-analysis
• Language: Python
• Homepage: https://tsclust.readthedocs.io/
• Size: 3.25 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

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README

          

.. image:: https://img.shields.io/pypi/v/tsclust.svg

    :target: https://pypi.python.org/pypi/tsclust

    :alt: Documentation Status

.. image:: https://readthedocs.org/projects/tsclust/badge/?version=latest

    :target: https://tsclust.readthedocs.io/en/latest/?badge=latest

    :alt: Documentation Status

.. image:: https://img.shields.io/github/license/imartinezl/tsclust

    :target: https://github.com/imartinezl/tsclust/blob/master/LICENSE

    :alt: License

.. image:: https://github.com/imartinezl/tsclust/workflows/CI/badge.svg

    :target: https://github.com/imartinezl/tsclust/actions

    :alt: Actions

.. image:: https://img.shields.io/pypi/dd/tsclust

    :target: https://pepy.tech/project/tsclust

.. image:: https://img.shields.io/github/languages/top/imartinezl/tsclust

    :target: https://github.com/imartinezl/tsclust

    :alt: Top Language

.. image:: https://raw.githubusercontent.com/imartinezl/tsclust/master/assets/logo.gif

    :alt: Logo

    :width: 500

Introduction

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* Free software: MIT license

* Documentation: https://tsclust.readthedocs.io

Features

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* TODO

Credits

-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage