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-0.0.74.tar.gz (38.9 kB view details)

Uploaded Source

Built Distribution

scatcluster-0.0.74-py3-none-any.whl (46.2 kB view details)

Uploaded Python 3

File details

Details for the file scatcluster-0.0.74.tar.gz.

File metadata

  • Download URL: scatcluster-0.0.74.tar.gz
  • Upload date:
  • Size: 38.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.74.tar.gz
Algorithm Hash digest
SHA256 23d9824308c9f5daf340cb7db1b24cf7c7150a8c7267783cccc50cffc19009bd
MD5 d2bdd2d5d4010b6b345545813f9e11a8
BLAKE2b-256 12c8d40b3db3caa917fcbd26dbfbf2c23a6f0ba1e0cbc74c99eb12827d42df1c

See more details on using hashes here.

File details

Details for the file scatcluster-0.0.74-py3-none-any.whl.

File metadata

  • Download URL: scatcluster-0.0.74-py3-none-any.whl
  • Upload date:
  • Size: 46.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.74-py3-none-any.whl
Algorithm Hash digest
SHA256 d1cc2f0149a8b570b1db202a6dcafdd7dbfe00602b97ba052d12b696e7050312
MD5 5ff52b73f613dd4708df23698af72639
BLAKE2b-256 d79056f5221eebee4a236f4c40c6a1346a45938cda13b1b241cfa331b1a53a28

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