
Lumbermark Beats HDBSCAN and k-means on 61 Clustering Benchmarks
A new divisive clustering algorithm chops up mutual reachability spanning trees to detect clusters of varying densities, shapes, and sizes while beating HDBSCAN and Genie on benchmarks.






















