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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.
The analysis highlights Applications and Art as prominent areas in the source structure around Total correlation.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Total correlation shows recurring relationship patterns in the source. For example, Total correlation → For, Kullback, Leibler, This Another extracted example is Total correlation → Analogous, Conditional, Kullback-Leibler. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
correlation total information variables set multivariate displaystyle variable one watanabe garner 1962 among also given ldots independent entropy amount values
TTTA extracted 12 structured relationships around Total correlation. Examples in this analysis include Total correlation → is a → amount of information shared among the variables in the set and Total correlation → related to Conditional total correlation → Conditional. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Total correlation | is a | amount of information shared among the variables in the set | 0.90 | text |
| Total correlation | related to Conditional total correlation | Conditional | 0.60 | section |
| Total correlation | related to Conditional total correlation | Kullback-Leibler | 0.60 | section |
| Total correlation | related to Conditional total correlation | Analogous | 0.60 | section |
| Total correlation | related to Definition | For | 0.60 | section |
| Total correlation | related to Definition | Kullback | 0.60 | section |
| Total correlation | related to Definition | Leibler | 0.60 | section |
| Total correlation | related to Definition | This | 0.60 | section |
| Total correlation | related to Uses of total correlation | Clustering | 0.60 | section |
| Total correlation | related to Uses of total correlation | Watanabe | 0.60 | section |
| Total correlation | related to Uses of total correlation | Alfonso | 0.60 | section |
| Total correlation | see also | Mutual | 0.60 | section |
The concept neighborhoods around Total correlation bring nearby vocabulary together. In this analysis, examples include Total, Variables and Displaystyle. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Total correlation, one of the stronger structural bridges in this analysis connects Total correlation with Definition. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Total correlation to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Total correlation · EN edition · Analysis: TopicsToTalkAbout