scikit-clarans is an open-source Python package implementing the CLARANS clustering algorithm with a scikit-learn-compatible interface. It is intended for developers and data scientists building clustering workflows with scikit-learn.
scikit-clarans is an Other data science & ML project. It focuses on implementing CLARANS clustering within scikit-learn-compatible Python workflows. It is built as an open-source project for python developers and data scientists. The project is open source (MIT). scikit-clarans is available on the command line, and it can be self-hosted.
Behind scikit-clarans is ThienNguyen3001, and it first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Among its 5 catalogued features are CLARANS clustering, scikit-learn compatibility, and K-medoids clustering.
Summary written by a language model from the project’s public pages.
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