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This is a rather unconventional approach to a classic k-dimensional tree algorithm, which is basically a space-partitioning data structure that will only allow for quadrilateral outcomes. Traditional K-d algorithms will normally use neighbouring points to define the search trees and set its constraints. Instead, we randomize the position of ...
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