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A hyperplane separating two classes of data points in 2D space (A, blue line). A hyperplane separating two classes of data points in 3D space (B, blue sheet). Separation in more dimensions is also performed but it is difficult to be presented on a 2D manuscript. The support vectors are data that are closer to the hyperplane. The larger the margin between the hyperplanes, the better the classification (C,D).
