PH-tree

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

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Overview

Tree data structure Spatial indexing Feature vectors Bounding boxes Quadtree

14 related topics

Node structure

Z-ordering Fixed size arrays Dynamic arrays B-trees

4 related topics

Floating-point keys

Casting IEEE 754 Java C++

4 related topics

Operations

Hyperbox K nearest neighbor searches

2 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Delete: O(log n)
Insert: O(log n)
Invented: 2014
Operation: Average
Search: O(log n)
Space: O(n)

Topics to explore

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Overview

Tree data structure
Spatial indexing Spatial index
Feature vectors Feature vector
Bounding boxes Bounding box
Quadtree
Octree
Tries Trie
Crit bit tree
Degenerated trees Binary tree
Map Map (computer science)
Multimap
Below PH-tree
2 n {\displaystyle 2^{n}} -ary M-ary tree
Unbalanced Balanced tree

Node structure

Z-ordering Z-order curve
Fixed size arrays Array data type
Dynamic arrays Dynamic array
B-trees B-tree

Operations

Hyperbox
K nearest neighbor searches K-nearest neighbors algorithm

Floating-point keys

Casting Cast (computer science)
IEEE 754
Java Java (programming language)
C++

Scalability

Uses

R-Trees R-Tree

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Nodes34

Edges33

Triples39

Avg. degree1.94

Density0.058824

Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

PH-tree

Top relations

related to overview · 6

PH-tree → Crit, Each, For, Like, The, The PH-tree

related to Uses · 6

PH-tree → R-Trees, Research, The, The PH-tree, This, Window

is a · 5

PH-tree → hierarchy of nodes where every node splits the space in all d dimensions, map rather than a multimap.A d-dimensional PH-tree is a tree of nodes where each node partitions space by subdividing it into 2 d, multi-dimensional generalization of a Crit bit tree in the sense that a Crit bit tree is equivalent to a PH-tree with 1, spatial index that maps keys, tree data structure used for spatial indexing of multi-dimensional data

related to Scalability · 5

PH-tree → B-Tree, However, In, The, Z-order

related to Quadrant numbering · 4

PH-tree → All, For, L's, The PH-tree

related to Floating-point keys · 3

PH-tree → Floating-point, However, The PH-tree

related to Splitting strategy · 2

PH-tree → Similar, Thus

Delete · 1

PH-tree → O(log n)

Insert · 1

PH-tree → O(log n)

Invented · 1

PH-tree → 2014

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

displaystyle node keys query min key quadrant max quadrants box tree entries bit lookup also entry bits example window overlap

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
PH-tree	Delete	O(log n)	1.00	infobox
PH-tree	Insert	O(log n)	1.00	infobox
PH-tree	Invented	2014	1.00	infobox
PH-tree	Operation	Average	1.00	infobox
PH-tree	Search	O(log n)	1.00	infobox
PH-tree	Space	O(n)	1.00	infobox
PH-tree	Time complexity in big O notation	Time complexity in big O notationOperation Average Worst caseSearch O(log n) O(log n)Insert O(log n) O(log n)Delete O(log n) O(log n)Space complexitySpace O(n) O(n)	1.00	infobox
PH-tree	Type	tree, map	1.00	infobox
PH-tree	is a	tree data structure used for spatial indexing of multi-dimensional data	0.90	text
PH-tree	is a	spatial index that maps keys	0.90	text
PH-tree	is a	multi-dimensional generalization of a Crit bit tree in the sense that a Crit bit tree is equivalent to a PH-tree with 1	0.90	text
PH-tree	is a	map rather than a multimap.A d-dimensional PH-tree is a tree of nodes where each node partitions space by subdividing it into 2 d	0.90	text
PH-tree	is a	hierarchy of nodes where every node splits the space in all d dimensions	0.90	text

Related concept clusters Concept neighborhoods

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Connections between topic areas Semantic bridges

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Min side: 3