I’ve written a comparison of various clustering tools including BitBirch. A recent preprint [DOI] has illustrated BitBIRCH Clustering Refinement Strategies.
In this Application Note we present a package fully-dedicated to expanding on the BitBIRCH method, including multiple options that give the user appreciable control over the tree structure, while dramatically improving the quality of the final partitions. Remarkably, this is achieved without compromising the efficiency of the original method. We also present new post-processing tools that help dissect the clustering information, as well as ample examples showcasing the new functionalities.
All the code is available on GitHub https://github.com/mqcomplab/bitbirch this includes several notebooks that demonstrate the refinement strategies. https://github.com/mqcomplab/bitbirch/tree/main/examples/refinement