In information science, formal concept analysis (FCA) is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties.
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Updated
Nov 23, 2017 - Java
In information science, formal concept analysis (FCA) is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties.
Produces program-concept classifications from a program and it's associated syntax in AST form, and relates classifications via a partial-order in a complete lattice.
Prototype BoGL Program Explorer via Program-Concept Classifications
Our analysis applies to the study of the results of 2017 French presidential elections according to each department and thus to study with R and Correspondence Analysis the behavior of the voters of each department.
🧠 Provides experimental implementations of psychological phenomena (e.g. typicality, basic level) which appears in field of Cognitive Psychology.
A PHP-based private API management website.
Some code for lattice-based consensus clustering
Computation of OEIS sequences A334254 and A334255 for n=6 and checking their values for n=3,4,5
Contains the codes and formal context files for (maximal) antichains of Tamari lattices
Provide an automated process for feature models synthesis using Formal Concept Analysis and Relational Concept Analysis by leveraging User-stories and code merges. Submitted at : https://upriss.github.io/fca/CoNo-Concepts2023.html
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