Metadata-Version: 2.4
Name: MUFS
Version: 1.0.0
Summary: Multi Feature Selection
Author-email: Ricardo Montañana Gómez <Ricardo.Montanana@alu.uclm.es>
License-Expression: MIT
Project-URL: Homepage, https://github.com/Doctorado-ML/mufs#mufs
Project-URL: Code, https://github.com/Doctorado-ML/mufs
Keywords: feature-selection
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn>=1.8.0
Requires-Dist: FImdlp>=1.0.1
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Requires-Dist: build; extra == "dev"
Dynamic: license-file

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# MUFS

## Multi Feature Selection

### Fast Correlation-Based Filter

Feature Selection for High-Dimensional Data : A Fast Correlation-Based Filter Solution. / Yu, Lei; Liu, Huan.

Proceedings, Twentieth International Conference on Machine Learning. ed. / T. Fawcett; N. Mishra. 2003. p. 856-863 (Proceedings, Twentieth International Conference on Machine Learning; Vol. 2).

### Correlation-based Feature Selection

Hall, M. A. (1999), 'Correlation-based Feature Selection for Machine Learning'.

### IWSS

Based on: P. Bermejo, J. A. Gamez and J. M. Puerta, "Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection," 2009 IEEE Symposium on Computational Intelligence and Data Mining, 2009, pp. 367-374, doi: 10.1109/CIDM.2009.4938673.
