Uses of Package
org.ddogleg.nn.alg
Package
Description
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ClassDescriptionSelects which axis the data should be split along when given a list of variances.Selects which dimension the set of points should be split by, which point is used to split the lists, and splits the lists into two sets.K-D Tree is short for k-dimensional tree and is a binary tree data structure used for quickly finding the nearest-neighbor of a k-dimensional point in a set.Data type for each node in the binary tree.Computes the distance between two points.Memory management for recycling KdTree data structures.Storage for the results of a K-D Tree search.Interface for searching a single tree for the nearest-neighborInterface for searching a single tree for the N nearest-neighbors.
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ClassDescriptionK-D Tree is short for k-dimensional tree and is a binary tree data structure used for quickly finding the nearest-neighbor of a k-dimensional point in a set.Data type for each node in the binary tree.Computes the distance between two points.Storage for the results of a K-D Tree search.Interface for searching a single tree for the nearest-neighborInterface for searching a single tree for the N nearest-neighbors.
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ClassDescriptionSelects which dimension the set of points should be split by, which point is used to split the lists, and splits the lists into two sets.Computes the distance between two points.Interface for searching a single tree for the nearest-neighborInterface for searching a single tree for the N nearest-neighbors.