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-0.0.80.tar.gz (39.0 kB view details)

Uploaded Source

Built Distribution

scatcluster-0.0.80-py3-none-any.whl (46.3 kB view details)

Uploaded Python 3

File details

Details for the file scatcluster-0.0.80.tar.gz.

File metadata

  • Download URL: scatcluster-0.0.80.tar.gz
  • Upload date:
  • Size: 39.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.80.tar.gz
Algorithm Hash digest
SHA256 c62fa433ba0038fc9e2f6eac1805709ee4d4fc720c679d20b3870f12bf6aa1ad
MD5 a4d3d3268f8d9a67235f60625f8127c5
BLAKE2b-256 c9309dad49454505e85ea478eaf1eb3174edc2193ac5a2455083567cacf61340

See more details on using hashes here.

File details

Details for the file scatcluster-0.0.80-py3-none-any.whl.

File metadata

  • Download URL: scatcluster-0.0.80-py3-none-any.whl
  • Upload date:
  • Size: 46.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for scatcluster-0.0.80-py3-none-any.whl
Algorithm Hash digest
SHA256 a5fc381677ff7bb7aabce1a14920be12e6febe39314109a827c505ab9720edff
MD5 38410cdaab9bdcff00ce303f6e736cfd
BLAKE2b-256 7be814c277d249537d070b6d801f19bec4d3a064f7fed56251a109af6db914e8

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