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 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.
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