Skip to main content

A workflow for clustering continuous time series with a deep scattering network.

Project description

A workflow for clustering continuous time series with a deep scattering network.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scatcluster-0.0.50.tar.gz (37.3 kB view details)

Uploaded Source

Built Distribution

scatcluster-0.0.50-py3-none-any.whl (44.6 kB view details)

Uploaded Python 3

File details

Details for the file scatcluster-0.0.50.tar.gz.

File metadata

  • Download URL: scatcluster-0.0.50.tar.gz
  • Upload date:
  • Size: 37.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.50.tar.gz
Algorithm Hash digest
SHA256 b1ce3d3a6fd62b8ea7c3e074fffe14b18e26670b678f4da3d26c37064b109d11
MD5 d596a246f279436402f011eab75c5a1e
BLAKE2b-256 7d35a88ccb50948bd794b43c5045fbbfcc7c87d6d327bbadea1751ce861f1ce2

See more details on using hashes here.

File details

Details for the file scatcluster-0.0.50-py3-none-any.whl.

File metadata

  • Download URL: scatcluster-0.0.50-py3-none-any.whl
  • Upload date:
  • Size: 44.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.50-py3-none-any.whl
Algorithm Hash digest
SHA256 604e09529efb4d32e072df8e1111cecc079773d61e121583de7fcf76cc2e46be
MD5 b9a8eb4dd41a6469522abf42bd407136
BLAKE2b-256 c7eb85f44ea9bdcb90917c9f48049ab5d58b0bfae27b6eb47b78ed70f8398fbf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page