Feature Selection and Overlapping Clustering-Based Multilabel Classification Model

Pseudocode 1

(Initialisation) Set “initial set of features”;

“empty set’’.

(Computation of the MI with the output class set)

For compute

(Choice of the first feature) Find the feature that

maximizes ; set ; set .

(Greedy selection) Repeat until ;

(selection of the next feature) choose the feature

;

set ; set ;

(output) Output the set with the selected features.