/Reversible-Cellular-Automata-Clustering

This repository contains the files for the final year project on optimisations to clustering using Reversible Cellular Automata.

Primary LanguagePythonMIT LicenseMIT

Open-Source and Improvised RCA-based Clustering

This repository is contains an open-source, imrpovised Reversible Cellular Automata based clustering technique.

Getting Started

  1. Install the requirements using the requirements.txt file through the command :

    pip install -r requirements.txt

  2. The cluster.ipynb notebook contains the sample code for running the clustering technique.

  3. Make sure your database is included in the data folder before clustering, as the function takes dataset name as input.

  4. The function currently runs on 4 threads by default and runs 10 trails befoer showing the best results.