Based on Accelerated Probabilistic Quantum Clustering
Project description
APQC
Accelerated Probabilistic Quantum Clustering
TODO: Add more information in the readme about the algorithm and the usage
Initial steps
Follow the test_examples
Mathematical background
There is an open-version of the paper in the main folder.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
apqc-0.1.3.tar.gz
(13.6 kB
view details)
Built Distribution
apqc-0.1.3-py3-none-any.whl
(15.6 kB
view details)
File details
Details for the file apqc-0.1.3.tar.gz
.
File metadata
- Download URL: apqc-0.1.3.tar.gz
- Upload date:
- Size: 13.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.9.3 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 46e908584376b9bf1d98a466a0a75436af4776a5eefaa22382d0a33952293788 |
|
MD5 | a6c99b867d8283bbbcda1b919ff752b8 |
|
BLAKE2b-256 | 80933f7e980ae1717c6b506df17a2fdca5cd23e7b3c6fedf989d6b05eea7df72 |
File details
Details for the file apqc-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: apqc-0.1.3-py3-none-any.whl
- Upload date:
- Size: 15.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: pdm/2.9.3 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6152ada2ce0e70d26c94536c61007e01c8ae9411b98412b78ea6845280dcbf69 |
|
MD5 | 79f5d70e29faf26812a9681d76720042 |
|
BLAKE2b-256 | 72764a07620959a50679218f6874aa7e4a78c31774319e5a1f64eb7d36e8a9ef |