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Figure 7
Principal of support-vector machines. Sample points that are not easily separable in the original feature space, x, are transformed to a higher-dimensional space, y1 and y2, and then hyperplanes are constructed to maximize the margin between different classes. Depicted is a two-class problem (blue and red). The full points are the support vectors.

Journal logoBIOLOGICAL
ISSN: 1399-0047
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