fca
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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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Nov 23, 2017 - Java
Counting (maximal) antichains in the lattice of set partitions
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Oct 29, 2022 - Jupyter Notebook
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.
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Jul 23, 2021 - Haskell
Prototype BoGL Program Explorer via Program-Concept Classifications
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Jul 23, 2021 - JavaScript
A PHP-based private API management website.
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Jul 19, 2023
Some code for lattice-based consensus clustering
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Jan 13, 2017 - Python
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Aug 15, 2020 - Jupyter Notebook
An implementation of formal concept analysis.
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Sep 1, 2024 - TypeScript
A library for FCA-Tool Developer.
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Nov 29, 2021 - Java
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.
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Sep 8, 2021 - R
Implementation of FCA and Orcale-Learning for learning implication bases
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Apr 1, 2018 - Python
FCA lazy classifier
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Mar 10, 2020 - Jupyter Notebook
Counting (maximal) antichains of non-crossing partitions
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Nov 22, 2022 - Jupyter Notebook
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