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