clustering-benchmarks 1.1.5

A Framework for Benchmarking Clustering Algorithms

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 https://clustering-benchmarks.gagolewski.com/ for a detailed description.

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