Unsupervised Learning & Clustering Analysis

Overview

This repository contains a comparative study of clustering algorithms and density estimation techniques applied to high-dimensional datasets. The project evaluates the performance, convergence speed, and cluster stability of K-Means, Gaussian Mixture Models (GMM), and DBSCAN.

Algorithms Implemented

• K-Means
• GMM
• DBSCAN