lattice_plot

Visualization of the concept lattice using 'ggraph'.

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

lattice_plot function

<dl><dt>nodes_df</dt>
<dd>Data frame with 'id'.</dd>
<dt>cover_matrix</dt>
<dd>Sparse matrix.</dd>
<dt>method</dt>
<dd>Layout method ("sugiyama", "force").</dd>
<dt>mode</dt>
<dd>Labeling mode ("reduced", "full", "empty").</dd>
<dt>objects</dt>
<dd>Character vector.</dd>
<dt>attributes</dt>
<dd>Character vector.</dd>
<dt>object_names</dt>
<dd>Logical (Deprecated).</dd>
<dt>to_latex</dt>
<dd>Logical.</dd>
<dt>extents</dt>
<dd>List of extents.</dd>
<dt>intents</dt>
<dd>List of intents.</dd>
<dt>...</dt>
<dd>Extra args.</dd></dl>

Arguments

Plot Concept Lattice — lattice_plot

<dl>

<dt>nodes_df</dt>
<dd>Data frame with 'id'.</dd>


<dt>cover_matrix</dt>
<dd>Sparse matrix.</dd>


<dt>method</dt>
<dd>Layout method ("sugiyama", "force").</dd>


<dt>mode</dt>
<dd>Labeling mode ("reduced", "full", "empty").</dd>


<dt>objects</dt>
<dd>Character vector.</dd>


<dt>attributes</dt>
<dd>Character vector.</dd>


<dt>object_names</dt>
<dd>Logical (Deprecated).</dd>


<dt>to_latex</dt>
<dd>Logical.</dd>


<dt>extents</dt>
<dd>List of extents.</dd>


<dt>intents</dt>
<dd>List of intents.</dd>


<dt>...</dt>
<dd>Extra args.</dd>

</dl>

lattice_plot: Plot Concept Lattice

Description

Usage

Arguments