This example demonstrates Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using scikit-learn, showing how to generate synthetic clusters, compute DBSCAN clustering, and visualize the results, including core and non-core samples.
A step-by-step guide on understanding and implementing t-SNE for visualizing high-dimensional data using Python.
