Approximate convex hulls family for one-class classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
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The usage of convex hulls for classification is discussed with a practical algorithm, in which a sample is classified according to the distances to convex hulls. Sometimes convex hulls of classes are too close to keep a large margin. In this paper, we discuss a way to keep a margin larger than a specified value. To do this, we introduce a concept of ``expanded convex hull'' and confirm its effectiveness.