clustering-benchmarks

Python

A Framework for Benchmarking Clustering Algorithms

Last updated Mar 10, 2026

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#benchmark-suite #benchmarking #cluster #cluster-analysis #clustering #clustering-algorithms #clustering-benchmarks #clustering-evaluation #data #data-science #dataset #datasets #ground-truth #machine-learning

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README

A Framework for Benchmarking Clustering Algorithms

Maintained/edited/authored by Marek Gagolewski.

This project aims to:

*aggregate, polish, and standardise the existing clustering benchmark batteries** referred to across the machine learning and data mining literature,

introduce new datasets of different dimensionalities,

sizes, and cluster types,

propose a consistent methodology for evaluating clustering algorithms.

See for more details.

How to cite: Gagolewski M., A framework for benchmarking clustering algorithms, SoftwareX 20, 2022, 101270, , DOI: 10.1016/j.softx.2022.101270.

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