HDBSCAN

HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise) is a data analysis technique that groups similar data points together based on their density. Unlike simpler methods, it can identify clusters of varying shapes and sizes, and it can recognize outliers or noise. It builds a hierarchy of clusters by examining how densely data points are packed, then selects the most meaningful groupings. This makes it useful for discovering patterns in complex datasets where the number and structure of clusters are unknown in advance. Overall, HDBSCAN offers a flexible and robust way to analyze data without needing strict assumptions about the data's distribution.