fetch_context

Downloads a context file from the fcarepository.org (via GitHub mirror),
parses it, and returns a FormalContext object.

Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems. Matrix factorization is provided by the GreConD+ algorithm (Belohlavek and Trneckova, 2024 <doi:10.1109/TFUZZ.2023.3330760>).

Domingo Lopez Rodriguez

fcaR

Formal Concept Analysis

Angel Mora

Jesus Dominguez

Ana Villalon

fetch_context function

<dl><dt>filename</dt>
<dd>Character string. The ID/filename of the context (e.g., "animals_en.cxt").</dd>
<dt>verbose</dt>
<dd>Logical. If TRUE, prints metadata and progress messages using cli/glue.</dd></dl>

Arguments

Fetch a Formal Context from the FCA Repository — fetch_context

<dl>

<dt>filename</dt>
<dd>Character string. The ID/filename of the context (e.g., "animals_en.cxt").</dd>


<dt>verbose</dt>
<dd>Logical. If TRUE, prints metadata and progress messages using cli/glue.</dd>

</dl>

fetch_context: Fetch a Formal Context from the FCA Repository

Description

Usage

Value

Arguments