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First compute all
the pairwise
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distances
between training points.
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Then, just look
up the distance from
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a training point
to each of the two
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poles of the
hyper-plane.
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This
is very efficient for high-
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dimensional
spaces.
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The
computational efficiency and
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the low
complexity both come from
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the fact that we
define 0(N^2)
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hyper-planes
using only N points.
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