Changelog¶
1.1.5 (2024-08-22)¶
Minor extensions/updates.
1.1.4 (2023-12-12)¶
[BUGFIX] #5:
load_dataset
threw anOSError
while trying to load a dataset.
1.1.2 (2023-10-19)¶
[BUGFIX]
adjusted_asymetric_accuracy
is now callednormalized_clustering_accuracy
ingenieclust
.
1.1.1 (2022-10-06)¶
[BUGFIX] #3:
root_dir
inglob.glob
is only available Python >= 3.10.
1.1.0 (2022-09-17)¶
The project’s homepage was created. It is available at https://clustering-benchmarks.gagolewski.com/.
Python package
clustering-benchmarks
released on PyPI.The code and the data repositories were separated; see https://github.com/gagolews/clustering-benchmarks, https://github.com/gagolews/clustering-data-v1, and https://github.com/gagolews/clustering-results-v1.
1.0.0 (2020-05-08)¶
Datasets in the 1st (v1.0.0) version of the benchmark battery are now frozen. The historical snapshot is available at DOI: 10.5281/zenodo.3815066.
0.0.0 (2015-12-29)¶
Version 0 of the benchmark battery consists of the datasets studied in: Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm, Information Sciences 363, 2016, pp. 8–23, DOI: 10.1016/j.ins.2016.05.003.
The datasets have been archived at https://github.com/gagolews/clustering-data-v0.