
handle: 11104/0125682
The paper deals with the nature of multivariate data space. We show that for a uniform distribution of points in an n-dimensional Euclidean space the distribution of the distance of the i-th nearest neighbor to the n-power has Erlang distribution. Some features of such observation are drawn and a suggestion on how to compensate for the data spacious deformation is shown.
multivariate data, distribution mapping exponent, boundary effects
multivariate data, distribution mapping exponent, boundary effects
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