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.
For an example study based on this benchmark suite, see https://genieclust.gagolewski.com.
How to Cite: Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022, https://clustering-benchmarks.gagolewski.com, submitted for publication.
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