# Changelog


## 1.1.6 (2025-02-03)

-   [BUGFIX] `numpy.DataSource` is now `numpy.lib.npyio.DataSource`.
-   `load_dataset` now guarantees to return a C-contiguous `data` matrix.


## 1.1.5 (2024-08-22)

-   Minor extensions/updates.


## 1.1.4 (2023-12-12)

-   [BUGFIX] #5: `load_dataset` threw an `OSError` while trying to load
    a dataset.


## 1.1.2 (2023-10-19)

-   [BUGFIX] `adjusted_asymetric_accuracy` is now called
    `normalized_clustering_accuracy` in `genieclust`.


## 1.1.1 (2022-10-06)

-   [BUGFIX] #3: `root_dir` in `glob.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](https://doi.org/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](https://doi.org/10.1016/j.ins.2016.05.003).

    The datasets have been archived at
    <https://github.com/gagolews/clustering-data-v0>.
