pyTBC is a python library which implements Trace-based clustering technique
Project description
pyTBC
pyTBC is a python library which implements Trace-based clustering technique [1].
Installation
The source code is currently hosted on: https://github.com/antoniolopezmc/pyTBC
To install pyTBC library from pip, it is neccesary to execute:
pip install pyTBC
Generating the documentation
The python package documentation in html, latex and pdf formats can be generated as follows:
cd docs
make
References
[1] A. Lopez-Martinez-Carrasco, J. M. Juarez, M. Campos, and B. Canovas-Segura, "A methodology based on trace-based clustering for patient phenotyping", Knowledge-Based Systems,vol. 232, no. 2, article 107469, 2021.
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 Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyTBC-1.1.0-py3-none-any.whl.
File metadata
- Download URL: pyTBC-1.1.0-py3-none-any.whl
- Upload date:
- Size: 7.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1981307a00f6964540cc9a340fb52327326779ce4fcf4109ae869b123415ff5e
|
|
| MD5 |
69b501a73651c99efe30fe785b9f4fc0
|
|
| BLAKE2b-256 |
03e1f6b9c682590f763037d84f30c47a59a9a0e7c10236cfef636a777fd222c5
|
