FCA-ImplicationClustering

The goal of FCA-ImplicationClustering is to present examples of how to perform clustering on implications. This is intended to be a repository with code in the R language to let users of the fcaR package replicate the results of a paper submitted to ICFCA 2021.

Setup

Some packages, besides fcaR, are needed. Users can install them by doing:

install.packages(c("tidyverse", "cluster", "ggrepel", "MASS"))

Examples

We have included two examples in this repository:

• planets_example.R, and the accompanying .md and .html files, present a simple example on how to perform implication clustering with a small dataset.
• replication_script.R and the accompanying .md and .html files are the code and results of clustering the implications valid in the MONKS datasets. It replicates the results presented in the paper mentioned above.

If you want to check the results from this Github repository, you can inspect the .md files directly. Otherwise, you can clone or download the repository and check the .html files in your computer.