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Support vector machine for subgroup classification. Visualization of the SV machine approach for separating cells with δ(i) = +1 (+) and δ(i) = -1 (◦). Left: distributed data in the input space. Middle: sample transformed in the feature space which allows for better separation. Right: separation result for separating hyperplane with normal vector w (→). As a perfect separation is in general not possible, misclassifications (○) exist.
