clustering-data-v1.1.0

A Framework for Benchmarking Clustering Algorithms

Benchmark Suite Version 1.1.0

How to Cite: Please cite the following paper which describes the overall benchmarking methodology:

Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022, https://clustering-benchmarks.gagolewski.com, submitted for publication.

Additionally, mention the exact version of this benchmark suite:

Gagolewski M. et al. (Eds.), A Benchmark Suite for Clustering Algorithms: Version 1.1.0, 2022, https://github.com/gagolews/clustering-data-v1/releases/tag/v1.1.0.

The datasets are provided solely for research purposes, unless stated otherwise. Please cite the literature references mentioned in the corresponding dataset description files in any publications that make use of these.

What is New in Version 1.1.0 (2022-09-17)

• Each battery is now equipped with a README.txt file.

• New label vectors:
  wut/x2.labels1,
  wut/x3.labels1.

• Prettified (slightly) label vectors:
  graves/fuzzyx.labels[1-4],
  graves/parabolic.labels1.

• Deleted now redundant label vectors:
  graves/fuzzyx.labels5.

clustering-data-v1.0.1

A Framework for Benchmarking Clustering Algorithms

Benchmark Suite Version 1.0.1

How to Cite: Please cite the following paper which describes the overall benchmarking methodology:

Gagolewski M., A Framework for Benchmarking Clustering Algorithms, 2022,
https://clustering-benchmarks.gagolewski.com, submitted for publication.

Additionally, mention the exact version of this benchmark suite:

Gagolewski M. et al. (Eds.), A Benchmark Suite for Clustering Algorithms:
Version 1.0.1, 2022, https://github.com/gagolews/clustering-data-v1.

The datasets are provided solely for research purposes, unless stated otherwise. Please cite the literature references mentioned in the corresponding dataset description files in any publications that make use of these.

What is New in Version 1.0.1 (2022-09-10)

• Updated dataset description files, e.g., fixed broken links.

• The code and the data repositories were separated; see
  https://github.com/gagolews/clustering-benchmarks and
  https://github.com/gagolews/clustering-data-v1.

• The project's homepage has been created. It is available at
  https://clustering-benchmarks.gagolewski.com.