Releases: gagolews/clustering-benchmarks
clustering-benchmarks-1.1.5
clustering-benchmarks-v1.1.4
1.1.4 (2023-12-12)
- [BUGFIX] #5:
load_dataset
threw anOSError
while trying to load
a dataset.
clustering-benchmarks-v1.1.3
1.1.3 (2023-12-11)
- [BUGFIX] #5:
load_dataset
threw anOSError
while trying to load
a dataset.
clustering-benchmarks-v1.1.2
1.1.2 (2023-10-19)
- [BUGFIX]
adjusted_asymetric_accuracy
is now called
normalized_clustering_accuracy
ingenieclust
.
clustering-benchmarks-v1.1.1
1.1.1 (2022-10-06)
- [BUGFIX] #3:
root_dir
inglob.glob
is only available Python >= 3.10.
clustering-benchmarks-v1.1.0
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.
clustering_benchmarks_v1
This is version 1 of the suite, dated 8 May 2020. The contents of this repository are frozen -- no new datasets will be added. This will ensure that everyone evaluates their methods on the same test data.
Please cite this repository as:
M. Gagolewski and A. Cena (Eds.), Benchmark Suite for Clustering Algorithms -- Version 1, 2020, https://github.com/gagolews/clustering_benchmarks_v1, doi:10.5281/zenodo.3815066