MIset documentation
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**'MIset'** stands for '(M)utual (I)nformation (SET) of feature selection techniques'.

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

1. **'Joint Mutual Information Maximization'** method as described here: `https://doi.org/10.1016/j.eswa.2015.07.007 <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 <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 <https://doi.org/10.1016/j.jcmds.2023.100075>`_.


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