genieclust_1.1.6

1.1.6 (2024-08-22)

• [PYTHON] The package now works with numpy 2.0.

genieclust_1.1.5

1.1.5 (2023-10-18)

• [BACKWARD INCOMPATIBILITY] [Python and R] Inequality measures
  are no longer referred to as inequity measures.

• [BACKWARD INCOMPATIBILITY] [Python and R]
  Some external cluster validity measures were renamed
  (as per the major revision of https://doi.org/10.48550/arXiv.2209.02935):
  adjusted_asymmetric_accuracy -> normalized_clustering_accuracy,
  normalized_accuracy -> normalized_pivoted_accuracy.

• [BACKWARD INCOMPATIBILITY] [Python] compare_partitions2 has been removed,
  as compare_partitions and other partition similarity scores
  now support both pairs of label vectors (x, y) and confusion matrices
  (x=C, y=None).

• [Python and R] New parameter to pair_sets_index: clipped.

• In normalizing_permutation and external cluster validity measures,
  the input matrices can now be of the type double.

• [BUGFIX] [Python] #80: Fixed adjustment for nmslib_n_neighbors
  in small samples.

• [BUGFIX] [Python] #82: cluster_validity submodule not imported.

• [BUGFIX] Some external cluster validity measures
  now handle NaNs better and are slightly less prone to round-off errors.

genieclust_1.1.3

1.1.3 (2023-01-17)

• [R] mst.default now throws an error if any element in the input matrix
  is missing/infinite.

• [Python] Fixed call to mlpack.emst that no longer worked
  with the new version of mlpack.

genieclust_1.1.2

1.1.2 (2022-09-17)

• [Python and R] adjusted_asymmetric_accuracy
  now accepts confusion matrices with fewer columns than rows.
  Such "missing" columns are now treated as if they were filled with 0s.

• [Python and R] pair_sets_index, and normalized_accuracy return
  the same results for non-symmetric confusion matrices and transposes thereof.

genieclust_1.1.1

1.1.1 (2022-09-15)

• [Python] #75: nmslib is now optional.

• [BUILD TIME]: The use of ssize_t was not portable.

genieclust_1.1.0

1.1.0 (2022-09-05)

• [GENERAL] The cluster validity measures are discussed in more detail at
  https://clustering-benchmarks.gagolewski.com.

• [Python and R] New function:
  compare_partitions.adjusted_asymmetric_accuracy.

• [Python and R] Implementations of the so-called internal cluster
  validity measures discussed in
  DOI: 10.1016/j.ins.2021.10.004;
  see our (GitHub-only) CVI package
  for R. In particular, the generalised Dunn indices are based on the code
  originally authored by Maciej Bartoszuk. Thanks.

  Functions added (to the cluster_validity module in the Python version):
  calinski_harabasz_index,
  dunnowa_index,
  generalised_dunn_index,
  negated_ball_hall_index,
  negated_davies_bouldin_index,
  negated_wcss_index,
  silhouette_index,
  silhouette_w_index,
  wcnn_index.

• [BACKWARD INCOMPATIBILITY] compare_partitions.normalized_confusion_matrix
  now solves the maximal assignment problem instead of applying
  a primitive partial pivoting.

• [Python and R] New function: compare_partitions.normalizing_permutation

• [R] New function: normalized_confusion_matrix.

• [Python and R] New parameter to compare_partitions.pair_sets_index:
  simplified.

• [Python] New parameters to plots.plot_scatter:
  axis, title, xlabel, ylabel, xlim, ylim.

genieclust_1.0.1

genieclust 1.0.1 (2022-08-08)

• [GENERAL] A paper on the genieclust package has appeared in SoftwareX, see https://doi.org/10.1016/j.softx.2021.100722.

• [Python] plot_scatter now uses a more accessible default palette (from R 4.0.0).

• [Python] New function: inequity.devergottini_index.

• [R] New function: devergottini_index.

genieclust_1.0.0

v1.0.0

gh action update

genieclust_0.9.8 (R only)

Fixed build errors on Solaris: _X is a reserved identifier.

genieclust_0.9.7 (R only)

• Fixed missing LinkingTo: BH