Steps |
|
1 | Normalization of feature matrix |
2 | Calculating the center of classes |
3 | Calculating the Euclidean distance of the classes center |
4 | Integrating the same classes |
5 | Calculating correlation between the new classes in both levels |
6 | Feature selection in both levels |
7 | Apply SVM Algorithm to the classes of the level 1 |
8 | Apply SVM Algorithm to the classes of the level 2 |
9 | Final decision |
10 | end |