{"library":"k-means-constrained","type":"library","category":null,"description":"K-Means Constrained is a Python library that implements K-Means clustering with user-defined minimum and maximum cluster size constraints. It's based on the constrained k-means algorithm by Bradley, Bennett, & Demiriz (2000). The current version is 0.9.0, and the project maintains an active but moderate release cadence, typically releasing updates a few times a year.","language":"python","status":"active","version":"0.9.0","tags":["machine-learning","clustering","k-means","constrained-clustering","unsupervised-learning"],"last_verified":"Tue May 26","install":[{"cmd":"pip install k-means-constrained","imports":["from k_means_constrained import KMeansConstrained"]}],"homepage":null,"github":"https://github.com/joshlk/k-means-constrained","docs":"https://joshlk.github.io/k-means-constrained/","changelog":null,"pypi":"https://pypi.org/project/k-means-constrained/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":13.6,"avg_import_s":1.69,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/k-means-constrained/compatibility"}}