sklekmeans: a scikit-learn extension#
Date: Sep 27, 2025 Version: 0.1.2
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This site documents sklekmeans, a scikit-learn‑compatible implementation of
Equilibrium K-Means (EKMeans) designed for robust clustering on imbalanced datasets.
It covers installation and a quick start, algorithm details, full-batch and mini-batch
training modes, optional numba acceleration, the full Python API compatible with
sklearn estimators, and worked examples.
Learn how to install, fit, and evaluate EKMeans on your data.
Concepts, guidance, and detailed usage of EKMeans and MiniBatchEKMeans.
Full API reference for sklekmeans estimators, functions, and utilities.
Practical examples demonstrating clustering on balanced and imbalanced datasets.