Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a popular data clustering non-parametric algorithm that is used in machine learning to separate clusters of high density from clusters of low density.
This repository is a dynamic DBSCAN visualization tool that allows choosing from different datasets and hyperparameters values (epsilon and min neighbors):
