DBSCAN – Density-Based Spatial Clustering of Applications with Noise

Introduction Clustering is a fundamental unsupervised learning technique used to group data points based on similarity. While algorithms like K-Means and Hierarchical Clustering are popular, they have limitations in handling noise and finding cluster...