{"library":"hdbscan","type":"library","category":null,"description":"hdbscan is a clustering algorithm developed by Campello, Moulavi, and Zimek that extends DBSCAN by converting it into a hierarchical clustering algorithm, then using a technique to extract a flat partitioning from the hierarchy. It handles varying density clusters and can identify noise points. The current version is 0.8.42, with frequent minor releases addressing bugs and adding small features.","language":"python","status":"active","version":"0.8.42","tags":["clustering","machine-learning","unsupervised-learning","density-based","scikit-learn-compatible"],"install":[{"cmd":"pip install hdbscan","imports":["from hdbscan import HDBSCAN"]}],"homepage":null,"github":"http://github.com/scikit-learn-contrib/hdbscan","docs":null,"changelog":null,"pypi":"https://pypi.org/project/hdbscan/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":9.5,"avg_import_s":4.26,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/hdbscan/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}