Understanding DBSCAN Clustering: Hands-On With Scikit-Learn

Unsupervised Learning — Clustering

The Density-Based Spatial Clustering for Applications with Noise (DBSCAN) algorithm is designed to identify clusters in a dataset by identifying areas of high density and separating them from areas of low density. This approach allows DBSCAN to find clusters of any shape. The central concept in DBSCAN is the idea of a ‘core…