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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# FCA-ImplicationClustering
<!-- badges: start -->

<!-- badges: end -->
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:
```{r eval=FALSE}
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.