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  2. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. K-dimensional is that which concerns exactly k orthogonal axes or a space of any number of dimensions. [1] k-d trees are a useful data structure for several applications, such as:

  3. Octree - Wikipedia

    en.wikipedia.org/wiki/Octree

    The bottom level of the octree consists of leaf nodes that accrue color data not represented in the tree; these nodes initially contain single bits. If much more than the desired number of palette colors are entered into the octree, its size can be continually reduced by seeking out a bottom-level node and averaging its bit data up into a leaf ...

  4. Ball tree - Wikipedia

    en.wikipedia.org/wiki/Ball_tree

    In computer science, a ball tree, balltree [1] or metric tree, is a space partitioning data structure for organizing points in a multi-dimensional space. A ball tree partitions data points into a nested set of balls. The resulting data structure has characteristics that make it useful for a number of applications, most notably nearest neighbor ...

  5. Which Trees Produce Spiky Round Balls? Here's How to ... - AOL

    www.aol.com/news/kind-tree-produces-spiked-round...

    The tree produces spiky green fruits about the size of a golf ball, which turn brown and drop off the tree over an extended period beginning in fall and continuing over the winter.

  6. Kd-tree - Wikipedia

    en.wikipedia.org/?title=Kd-tree&redirect=no

    This page was last edited on 13 June 2011, at 20:46 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may ...

  7. DBSCAN - Wikipedia

    en.wikipedia.org/wiki/DBSCAN

    The package fpc does not have index support (and thus has quadratic runtime and memory complexity) and is rather slow due to the R interpreter. The package dbscan provides a fast C++ implementation using k-d trees (for Euclidean distance only) and also includes implementations of DBSCAN*, HDBSCAN*, OPTICS, OPTICSXi, and other related methods.

  8. Relaxed k-d tree - Wikipedia

    en.wikipedia.org/wiki/Relaxed_k-d_tree

    If K = 1, a relaxed K-d tree is a binary search tree. As in a K-d tree, a relaxed K-d tree of size n induces a partition of the domain D into n+1 regions, each corresponding to a leaf in the K-d tree. The bounding box (or bounds array) of a node {x,j} is the region of the space delimited by the leaf in which x falls when it is inserted into the ...

  9. K-D-B-tree - Wikipedia

    en.wikipedia.org/wiki/K-D-B-tree

    In computer science, a K-D-B-tree (k-dimensional B-tree) is a tree data structure for subdividing a k-dimensional search space. The aim of the K-D-B-tree is to provide the search efficiency of a balanced k-d tree , while providing the block-oriented storage of a B-tree for optimizing external memory accesses.