MIset documentation

This is a library that provides a python implementation of the mutual information based feature selection techniques outlined in the following research papers:

‘MIset’ stands for ‘(M)utual (I)nformation (SET) of feature selection techniques’.

  1. ‘Joint Mutual Information Maximization’ method as described here: https://doi.org/10.1016/j.eswa.2015.07.007.

  2. ‘Normalized Joint Mutual Information Maximization’ method as described here: https://doi.org/10.1016/j.eswa.2015.07.007.

  3. ‘Joint Mutual Information with Class Relevance’ method as described here: https://doi.org/10.1016/j.jcmds.2023.100075.