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In probability theory and information theory, the interaction information is a generalization of the mutual information for more than two variables.
Applications, Definition & Uses
Explore the main themes, entities and connections around Interaction information. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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information interaction variables displaystyle mutual doi 10 positive negative entropy theory amount interpretation pmid three mid multivariate correlation variable measures
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Interaction information | is a | generalization of the mutual information for more than two variables.There are many names for interaction information | 0.90 | text |
| Interaction information | related to Definition | The | 0.60 | section |
| Interaction information | related to Difficulty of interpretation | The | 0.60 | section |
| Interaction information | related to Difficulty of interpretation | Many | 0.60 | section |
| Interaction information | related to Difficulty of interpretation | To | 0.60 | section |
| Interaction information | related to Difficulty of interpretation | Agglomerate | 0.60 | section |
| Interaction information | related to Properties | Interaction | 0.60 | section |
| Interaction information | related to Properties | In | 0.60 | section |
| Interaction information | related to Properties | If | 0.60 | section |
| Interaction information | related to Properties | Markov | 0.60 | section |
| Interaction information | related to Properties | Therefore | 0.60 | section |
| Interaction information | related to Uses | Jakulin | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.