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Effective distance functions in high dimensional data space are very important in solutions for many data mining problems. Recent research has shown that if the Pearson variation of the distance distribution converges to zero with increasing dimensionality, the distance function will become unstable (or meaningless) in high dimensional space, even with the commonly used Lp metric in the Euclidean...
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