Metadata-Version: 2.1
Name: HFS-CC-PSO
Version: 0.0.1
Summary: Hybrid Feature Selection for high dimensional data using Correlation Clustering and Particle Swarm Optimization
Author-email: Jignesh Nagda <jigsshah.97@gmail.com>, Dinesh Mannari <dmannari@iu.edu>, Abhishek Singh <singab@iu.edu>, Jait Mahavarkar <jmahava@iu.edu>
Project-URL: Homepage, https://github.com/radioactive17/Hybrid-Feature-Selection-using-Correlation-Clustering-and-PSO
Project-URL: Bug Tracker, https://github.com/radioactive17/Hybrid-Feature-Selection-using-Correlation-Clustering-and-PSO/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# Hybrid-Feature-Selection-using-Correlation-Clustering-and-PSO
