M-tree

M-trees are tree data structures that are similar to R-trees and B-trees. ^[1]

7 relations: Ball tree, Bounding volume hierarchy, ELKI, List of data structures, Metric tree, R-tree, Spatial database.

Ball tree

In computer science, a ball tree, balltree or metric tree, is a space partitioning data structure for organizing points in a multi-dimensional space.

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Bounding volume hierarchy

A bounding volume hierarchy (BVH) is a tree structure on a set of geometric objects.

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ELKI (for Environment for DeveLoping KDD-Applications Supported by Index-Structures) is a knowledge discovery in databases (KDD, "data mining") software framework developed for use in research and teaching originally at the database systems research unit of Professor Hans-Peter Kriegel at the Ludwig Maximilian University of Munich, Germany.

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List of data structures

This is a list of data structures.

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Metric tree

A metric tree is any tree data structure specialized to index data in metric spaces.

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R-tree

R-trees are tree data structures used for spatial access methods, i.e., for indexing multi-dimensional information such as geographical coordinates, rectangles or polygons.

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Spatial database

A spatial database is a database that is optimized for storing and querying data that represents objects defined in a geometric space.

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References

[1] https://en.wikipedia.org/wiki/M-tree

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