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@gagolews gagolews released this 05 Sep 04:18
· 99 commits to master since this release
v1.1.0
38056a1

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.

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