Metadata-Version: 2.1
Name: pyTBC
Version: 1.1.0
Summary: pyTBC is a python library which implements Trace-based clustering technique
Home-page: https://github.com/antoniolopezmc/pyTBC
Author: Antonio López Martínez-Carrasco
Author-email: antoniolopezmc1995@gmail.com
Maintainer: Antonio López Martínez-Carrasco
Maintainer-email: antoniolopezmc1995@gmail.com
License: BSD-3-Clause
Keywords: python,data-mining,data-science,machine-learning,clustering,trace-based-clustering
Platform: any
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas (>=1.5.3)
Requires-Dist: scikit-learn (>=1.2.1)
Requires-Dist: seaborn (>=0.12.2)
Requires-Dist: matplotlib (>=3.7.0)

# 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:

```sh
pip install pyTBC
```

## Generating the documentation

The python package documentation in html, latex and pdf formats can be generated as follows:

```sh
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.
