Manuel Hanna

Project Overview

Implementing K-means and hierarchical clustering on synthetic and real-world data, this project involves generating clusters and evaluating their effectiveness. The evaluation uses external and internal validation metrics to assess cluster quality. The process includes grouping similar countries together and determining the best clustering solution by listing all groups and their respective countries. The results are visually presented through scatter plots, comparing performances before and after clustering.