Implementation of DBSCAN clustering on a dataset without using numpy.

Authors: Job Jacob, Paul Antony

This repo contains seven files:

1. DBSCAN_data.csv --> The csv file containing the dataset used for clustering.
   
2. main.py --> The main python file that is used for execution. It acts as a controller for the entire task and calls the required functions of the other two python files.
   
3. dbscan.py --> The python file containing the functions to perform DBSCAN clustering.
   
4. graphplot.py --> The python file containing the function to plot the different clusters and the noise vectors.
   
5. DBSCAN_ppt.pdf --> A presentation file explaining the DBSCAN algorithm.
   
6. dbscan-images --> Folder containing screenshots of our output for the dataset in the DBSCAN_data.csv file.
   
7. README.md --> Contains data about the repo and the files contained in it.

Steps to run the files in this repo:

1. Download and install a Python 3.X version (https://www.python.org/downloads/).
   
2. Download and install the latest version of Matplotlib (https://matplotlib.org/downloads.html).
   
3. Download the files inside this repo.
   
4. Navigate to the directory where you downloaded the files in this repo and execute the main.py file.
   
5. Enjoy the output!
   
6. Feel free to edit the files and code as per your preference.

GOOD LUCK!!