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M-tree

In computer science, M-trees are tree data structures that are similar to R-trees and B-trees. It is constructed using a metric and relies on the triangle inequality for efficient range and k-nearest neighbor (k-NN) queries. While M-trees can perform well in many conditions, the tree can also have large overlap and there is no clear strategy on how to…

Science, M-tree construction & Overview

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Explore the main themes, entities and connections around M-tree. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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M-tree construction

1 related topics

Overview

9 related topics

Topics to explore

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Overview

M-tree construction

Advanced semantic analysis

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Map overview Semantic statistics

M-tree

Nodes13
Edges12
Triples21
Avg. degree1.85
Density0.153846
Components1

How this topic connects Entity context

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M-tree

Top relations

related to Components · 15
M-tree → An M-tree, Covering, Distance, Feature, Leaf, NO, Node's, Non-leaf, NRO, Object, Oj, Op, Or, Pointer, Routing Object
related to overview · 6
M-tree → As, Ball, Every, For, In, Thus

Important terminology Word statistics

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Important terminology

object objects tree parent value distance pointer displaystyle node algorithm data split query range k-nn set routing leaf node's op

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
M-treerelated to ComponentsAn M-tree0.60section
M-treerelated to ComponentsNon-leaf0.60section
M-treerelated to ComponentsNRO0.60section
M-treerelated to ComponentsPointer0.60section
M-treerelated to ComponentsNode's0.60section
M-treerelated to ComponentsOp0.60section
M-treerelated to ComponentsLeaf0.60section
M-treerelated to ComponentsNO0.60section
M-treerelated to ComponentsRouting Object0.60section
M-treerelated to ComponentsFeature0.60section
M-treerelated to ComponentsOr0.60section
M-treerelated to ComponentsCovering0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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