https://github.com/doctorado-ml/mufs

Implementation of Fast Correlation-Based Filter and Correlation-based Feature Selection
https://github.com/doctorado-ml/mufs

cfs fcbf iwss

Last synced: about 1 month ago
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Implementation of Fast Correlation-Based Filter and Correlation-based Feature Selection

• Host: GitHub
• URL: https://github.com/doctorado-ml/mufs
• Owner: Doctorado-ML
• License: mit
• Created: 2021-05-12T08:24:31.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-10-13T11:35:30.000Z (over 1 year ago)
• Last Synced: 2025-03-25T06:33:00.999Z (about 2 months ago)
• Topics: cfs, fcbf, iwss
• Language: Python
• Homepage:
• Size: 124 KB
• Stars: 6
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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.