Examples Gallery

This gallery showcases how to use the estimators provided by sklekmeans.

Contents

• example.py: Minimal example demonstrating a basic EKMeans fit.

• plot_imbalanced_ekmeans.py: Comparison of clustering on an imbalanced dataset.

How to run locally

You can execute the examples directly, or build the documentation to render the plots and notebooks via Sphinx-Gallery.

To build the documentation gallery locally:

1. Install the docs dependencies:

   pip install -e .[docs]

2. Build the docs:

   sphinx-build -E -b html doc doc\_build\html

The gallery will appear under doc/_build/html/auto_examples.

Comparing EKMeans and other clustering algorithms on toy datasets

Comparing EKMeans and other clustering algorithms on toy datasets

Imbalanced clustering comparison with EKMeans

Imbalanced clustering comparison with EKMeans

Semi-supervised SSEKM on a toy dataset

Semi-supervised SSEKM on a toy dataset