Distance matrix

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Distance matrix topic overview

The analysis highlights Applications and Science as prominent areas in the source structure around Distance matrix.

Related topics: 72
Source areas: 11
Connected nodes: 83
Extracted relationships: 44
Related term clusters: 38
Bridge connections: 83

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 23 topics

Bioinformatics · 10 topics

Information retrieval · 10 topics

Metric distance matrix · 8 topics

Non-metric distance matrix · 7 topics

Chemistry · 4 topics

Data Mining and Machine Learning · 4 topics

Additive distance matrix · 2 topics

Examples · 2 topics

Other Applications · 1 topics

Ultrametric distance matrix · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Distance matrix

6Mathematics · Computer science · Graph theory

6Protein · Sequence space · Structural alignment

23Adjacency matrix · Network theory · Directed graph

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Non-metric distance matrix

Metric distance matrix

Additive distance matrix

Ultrametric distance matrix

Molecular clock

Bioinformatics

Data Mining and Machine Learning

Information retrieval

Chemistry

Other Applications

Dynamic time warping

Examples

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Distance matrix connects Entity context

The extracted context around Distance matrix shows recurring relationship patterns in the source. For example, Distance matrix → additive matrix, different type of distance matrix that is based on the graph-theoretical distance matrix of a molecule to represent and graph the 3-D molecule structure, essential element, mathematical object widely used in both graphical-theoretical, special type of matrix used in bioinformatics to build a phylogenetic tree, square matrix, weighted adjacency matrix of some graph Another extracted example is Distance matrix → C6H14, Creating, Distance, Householder, Le Verrier-Fadeev-Frame, LVFF, QL. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

is a · 7

Distance matrix → additive matrix, different type of distance matrix that is based on the graph-theoretical distance matrix of a molecule to represent and graph the 3-D molecule structure, essential element, mathematical object widely used in both graphical-theoretical, special type of matrix used in bioinformatics to build a phylogenetic tree, square matrix, weighted adjacency matrix of some graph

related to Graph-theoretical Distance matrix · 7

Distance matrix → C6H14, Creating, Distance, Householder, Le Verrier-Fadeev-Frame, LVFF, QL

related to Structure-property model · 5

Distance matrix → Distance, Implicit, The Weiner, Weiner, Weiner Index

related to Additive distance matrix · 4

Distance matrix → Every, Mij, Mix, Mxj

related to Bioinformatics · 4

Distance matrix → Distance, NMR, Sometimes, X-ray

related to Geometric-Distance Matrix · 3

Distance matrix → Also, Cartesian, Dij

related to Non-metric distance matrix · 3

Distance matrix → Given, Matrix, Since

related to Data Mining · 2

Distance matrix → Distance, Thus

related to Ultrametric distance matrix · 2

Distance matrix → Mij, TA

related to Examples · 1

Distance matrix → Euclidean

Important terminology

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

Important terminology

distance matrix used tree based methods data alignment distances matrices two set metric graph clustering species sequences method algorithm additive

Distance matrix relationships Subject–Predicate–Object triples

TTTA extracted 44 structured relationships around Distance matrix. Examples in this analysis include Distance matrix → is a → square matrix and Distance matrix → is a → weighted adjacency matrix of some graph. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Distance matrix	is a	square matrix	0.90	text
Distance matrix	is a	weighted adjacency matrix of some graph	0.90	text
Distance matrix	is a	special type of matrix used in bioinformatics to build a phylogenetic tree	0.90	text
Distance matrix	is a	additive matrix	0.90	text
Distance matrix	is a	essential element	0.90	text
Distance matrix	is a	mathematical object widely used in both graphical-theoretical	0.90	text
Distance matrix	is a	different type of distance matrix that is based on the graph-theoretical distance matrix of a molecule to represent and graph the 3-D molecule structure	0.90	text
phylogeny reconstruction	instance of	distance matrix became the representation of the similarity measure between all the different pairs of data in the set.Hierarchical clusteringA distance matrix is necessary for…	0.80	text
phylogeny reconstruction	instance of	Hierarchical clusteringA distance matrix is necessary for traditional hierarchical clustering algorithms which are often heuristic methods employed in biological sciences	0.80	text
Distance matrix	related to Additive distance matrix	Mij	0.60	section
Distance matrix	related to Additive distance matrix	Mix	0.60	section
Distance matrix	related to Additive distance matrix	Mxj	0.60	section

Related concept clusters Related term clusters

The concept neighborhoods around Distance matrix bring nearby vocabulary together. In this analysis, examples include Matrix, Used and Based. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Distance matrix
- Matrix
- Used
- Based
- Data
- Matrices
- Methods
- Metric
- Set
- Clustering
- Tree
- Algorithms
- Number
distance matrix
- Matrix
- Used
- Based
- Data
- Matrices
- Set
- Tree
- Methods
- Metric
- Clustering
- Algorithms
- Additive
graph theory
- Weights
- Edge
- Different
- Using
- Set
- Two
- Distances
- Matrix
- Based
- Learning
- Machine
- Retrieval
square matrix
- Used
- Based
- Set
- Tree
- Clustering
- Data
- Methods
- Algorithms
- Additive
- Learning
- Machine
- Example
distances
- Sequences
- Set
- Matrices
- Data
- Different
- Elements
- Using
- Graph
- Based
- Two
- Matrix
- Tree
multiple sequence alignment
- Multiple
- Sequence
- Sequences
- Two
- Phylogenetic
- Using
- One
- Used
- Algorithm
- Method
- Methods
- Based
hierarchical clustering
- Algorithms
- Learning
- Machine
- Data
- Matrix
- Number
- Distance
- Method
- Matrices
- Two
- Methods
- Based
adjacency matrix
- Used
- Based
- Set
- Tree
- Clustering
- Data
- Methods
- Algorithms
- Additive
- Learning
- Machine
- Example

Connections between topic areas Semantic bridges

For Distance matrix, one of the stronger structural bridges in this analysis connects Distance matrix with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Distance matrix — Overview · splits 60 ⟂ 24

Distance matrix — Bioinformatics · splits 73 ⟂ 11

Distance matrix — Information retrieval · splits 73 ⟂ 11

Distance matrix — Metric distance matrix · splits 75 ⟂ 9

Distance matrix — Non-metric distance matrix · splits 76 ⟂ 8

Distance matrix — Data Mining and Machine Learning · splits 79 ⟂ 5

Distance matrix — Chemistry · splits 79 ⟂ 5

Distance matrix — Additive distance matrix · splits 81 ⟂ 3

Distance matrix — Examples · splits 81 ⟂ 3

Map overview Semantic statistics

Distance matrix

Nodes84

Edges83

Triples44

Avg. degree1.98

Density0.02381

Components1

Source & methodology

TTTA analyzes the structure around Distance matrix to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Distance matrix · EN edition · Analysis: TopicsToTalkAbout

Distance matrix: Applications & Science

Distance matrix topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Non-metric distance matrix

Metric distance matrix

Additive distance matrix

Ultrametric distance matrix

Bioinformatics

Data Mining and Machine Learning

Information retrieval

Chemistry

Other Applications

Examples

For the semantics nerds

Advanced semantic analysis

How Distance matrix connects Entity context

Distance matrix

Top relations

Important terminology

Important terminology

Distance matrix relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Distance matrix

Source & methodology