Package

py-hdbscan

Description

HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications
with Noise. Performs DBSCAN over varying epsilon values and integrates
the result to find a clustering that gives the best stability over
epsilon. This allows HDBSCAN to find clusters of varying densities
(unlike DBSCAN), and be more robust to parameter selection. In practice
this means that HDBSCAN returns a good clustering straight away with
little or no parameter tuning -- and the primary parameter, minimum
cluster size, is intuitive and easy to select. HDBSCAN is ideal for
exploratory data analysis; it's a fast and robust algorithm that you can
trust to return meaningful clusters (if there are any).

Note