K-Means Clustering on Crime Data

OVERVIEW

This project performs K-Means clustering on crime data from Baltimore. It reads crime data from a CSV file, extracts coordinates, and applies the K-Means clustering algorithm to group the data into clusters based on their spatial proximity.