Visualize DBSCAN Clusters in R

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm that groups data points that are close to each other in a high-density region and separates data points from low-density regions (noisy points). Visualizing the results of the DBSCAN cluster is essential to understanding the structure and patterns of your data, and the effectiveness of DBSCAN. This article focuses on various methods for visualizing the DBSCAN results in R using dbscan and ggpairs functions.