Fast Approximate Complete-data k-nearest-neighbor Estimation

We introduce a fast method to estimate the complete-data set of k-nearest-neighbors.This is equivalent to finding an estimate of the k-nearest-neighbor graph of the data. The method relies on random normal projections. The k-nearest-neighbors are estimated by sorting points in a number of random li...

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Bibliographic Details
Main Authors: Alejandro Murua, Nicolas Wicker
Format: Article
Language:English
Published: Austrian Statistical Society 2020-02-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/907