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-0.0.45.tar.gz (37.3 kB view details)

Uploaded Source

Built Distribution

scatcluster-0.0.45-py3-none-any.whl (44.6 kB view details)

Uploaded Python 3

File details

Details for the file scatcluster-0.0.45.tar.gz.

File metadata

  • Download URL: scatcluster-0.0.45.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-0.0.45.tar.gz
Algorithm Hash digest
SHA256 193159c163ea61bffc982d28d81a9a8c4763f2bedcb8d2db718df7d144764924
MD5 345d6a1ea685544629fc4883d2f32bed
BLAKE2b-256 207a2ab8e7de063789aa7ddcb1b5c020c748354cdbe863c5b724b18d9e8cbacc

See more details on using hashes here.

File details

Details for the file scatcluster-0.0.45-py3-none-any.whl.

File metadata

  • Download URL: scatcluster-0.0.45-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-0.0.45-py3-none-any.whl
Algorithm Hash digest
SHA256 762689e9fdc63b2d8c9afe8be4bb9da44c3e25cd8fbb228b832e1ab7dd2f7d98
MD5 f24dfb71e7a0498062e45d01f60bf4f5
BLAKE2b-256 12cadb93a812176dddbe003098a4ecfb706bce62cea5b2f73f34fbb4b7cfad0d

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