probsys/hierarchical-irm
Probabilistic structure discovery for rich relational systems
This helps researchers, data analysts, or domain experts automatically find hidden groups and relationships within complex datasets. You provide relational data, like observations about how different entities (e.g., animals, people, or products) interact or share attributes, and it outputs a breakdown of how these entities and their relationships naturally cluster together. This is ideal for anyone working with interconnected data who needs to uncover underlying structures without manual guesswork.
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Use this if you have a dataset describing relationships between different types of entities and you want to automatically discover meaningful groups among them.
Not ideal if your data is simple, independent observations rather than a rich network of interconnected entities and relationships.
Stars
14
Forks
4
Language
C++
License
Apache-2.0
Category
Last pushed
Jul 09, 2024
Commits (30d)
0
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