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A Framework for Benchmarking Clustering Algorithms

Project description

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 a detailed description.

How to cite: Gagolewski M., A framework for benchmarking clustering algorithms, 2022,, DOI: 10.48550/arXiv.2209.09493, under review (preprint).

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