DenMune-Sklearn: Robust Density-Based Clustering

Date: Jul 10, 2026 Version: 0.1.5

Useful links: Source Repository | Issues & Ideas

DenMune-Sklearn is an efficient, scikit-learn compatible implementation of the “DENMUNE: Density peak based clustering using mutual nearest neighbors” algorithm. It was developed to provide a robust, performant, and API-compliant alternative to existing implementations.

This library excels at identifying non-convex clusters of varying densities, automatically detects noise, and integrates seamlessly into the scikit-learn ecosystem.

Getting Started

Install the library and run your first clustering task in minutes.

To the Getting Started guide

User Guide

Understand the theory behind DenMune, its parameters, and practical usage tips.

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API Reference

Detailed descriptions of all classes, functions, and their parameters.

To the API Reference

Examples

A gallery of examples demonstrating key features and advanced use cases.

To the Example Gallery