scikit-clarans Documentation
Welcome to the documentation for scikit-clarans, a specialized clustering library for Python.
scikit-clarans brings the power of the CLARANS (Clustering Large Applications based on RANdomized Search) algorithm to the scikit-learn ecosystem. It is designed to be:
Efficient: Optimized for larger datasets where standard k-medoids might struggle.
Compatible: A drop-in replacement for scikit-learn clusterers efficiently implementing fit, predict, and more.
Flexible: Supports customizable initialization strategies and distance metrics.
Getting Started
API Reference