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The -principal points of a random variable with finite second moment are those points in minimizing the expected squared distance from to the closest point. Although the determination of principal points involves in general the resolution of a multiextremal optimization problem, existing procedures in the literature provide just a local optimum. In this paper we show that standard Global Optimization techniques can be applied.
The -principal points of a random variable with finite
second moment
are those
points in minimizing the expected squared distance from to
the closest point.
Although the determination of principal points involves in general the
resolution of a multiextremal optimization problem, existing procedures in
the literature provide just a local optimum. In this paper we show that
standard Global Optimization techniques can be applied.
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