Fig. 4
Schematic representation of OCSVM using an example of the default radial basis kernel. The presented case of classification shows the tightest decision boundary which envelopes the known data (red circle) which can be treated as finding a separating hyperplane in the traditional SVM sense (green line). Unknown objects fall outside the sphere and are marked as outliers.
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