Fig. 4

The scheme of the SVM algorithm in a 2–dimensional space. The blue stars and red dots represent samples corresponding to two categories. The solid line illustrates the optimal hyperplane separating two data classes, while the dashed lines show hyperplanes passing through the support vectors.