Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Total correlation

In probability theory and in particular in information theory, total correlation (Watanabe 1960) is one of several generalizations of the mutual information. It is also known as the multivariate constraint (Garner 1962) or multiinformation (Studený & Vejnarová 1999). It quantifies the redundancy or dependency among a set of n random variables.

Applications & Art

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

Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Definition

Uses of total correlation

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

Total correlation

Nodes15
Edges14
Triples12
Avg. degree1.87
Density0.133333
Components1

How this topic connects Entity context

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

Total correlation

Top relations

related to Definition · 4
Total correlation → For, Kullback, Leibler, This
related to Conditional total correlation · 3
Total correlation → Analogous, Conditional, Kullback-Leibler
related to Uses of total correlation · 3
Total correlation → Alfonso, Clustering, Watanabe
is a · 1
Total correlation → amount of information shared among the variables in the set
see also · 1
Total correlation → Mutual

Important terminology Word statistics

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

Important terminology

correlation total information variables set multivariate displaystyle variable one watanabe garner 1962 among also given ldots independent entropy amount values

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Total correlationis aamount of information shared among the variables in the set0.90text
Total correlationrelated to Conditional total correlationConditional0.60section
Total correlationrelated to Conditional total correlationKullback-Leibler0.60section
Total correlationrelated to Conditional total correlationAnalogous0.60section
Total correlationrelated to DefinitionFor0.60section
Total correlationrelated to DefinitionKullback0.60section
Total correlationrelated to DefinitionLeibler0.60section
Total correlationrelated to DefinitionThis0.60section
Total correlationrelated to Uses of total correlationClustering0.60section
Total correlationrelated to Uses of total correlationWatanabe0.60section
Total correlationrelated to Uses of total correlationAlfonso0.60section
Total correlationsee alsoMutual0.60section

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

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.