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.
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-0.0.31.tar.gz
(29.3 kB
view details)
Built Distribution
File details
Details for the file scatcluster-0.0.31.tar.gz.
File metadata
- Download URL: scatcluster-0.0.31.tar.gz
- Upload date:
- Size: 29.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 09b0e1919120fdcbc31a9739e5a4d5711d75e8ce75188f94e25d039d3fc05349 |
|
| MD5 | 07900394ff959ae869972e8aaecccb5d |
|
| BLAKE2b-256 | e1a97c407ced6dc8a7fab0bcc43a6acac10c92bd5e7ed60d0c19f00db4afd6b3 |
File details
Details for the file scatcluster-0.0.31-py3-none-any.whl.
File metadata
- Download URL: scatcluster-0.0.31-py3-none-any.whl
- Upload date:
- Size: 35.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0a2ed584e093556d16ebb56694709f036cb1d2aacf2640c3c17d7c50d3c959b |
|
| MD5 | 674391077001d5262500c6924faf66d6 |
|
| BLAKE2b-256 | 5e3016c29693258a35cbceb0c0192cb189701795ef73a66df0ad9c234c08b277 |
