Changes in version 0.3.0 (2026-03-01)                  

  - feat: Add CLARA clustering learner clust.clara from the cluster
    package.
  - feat: Add k-prototypes clustering learner clust.kproto from the
    clustMixType package.
  - feat: Add spectral clustering learner clust.specc from the kernlab
    package.
  - fix: LearnerClustDBSCANfpc now correctly passes the newdata argument
    in the predict method.
  - fix: LearnerClustKKMeans now correctly passes kernel parameters via
    the kpar list to kernlab::kkmeans().
  - fix: clust.silhouette measure now has the correct range of [-1, 1].
  - docs: Fix typos in measure documentation.

                 Changes in version 0.2.0 (2026-02-04)                  

  - feat: Mlr3Error and Mlr3Warning classes for errors and warnings.
  - feat: Add protoclust learner from the protoclust package.
  - feat: EM learner now supports probabilistic assignments.
  - fix: Update learner parameter sets to match upstream package
    changes.
  - docs: Documentation improvements.
  - chore: mlr3cluster now requires R 3.4.0. Following data.table's
    minimum R version.
  - chore: mlr3cluster now requires mlr3 (>= 1.3.0) and mlr3misc
    (>= 0.19.0).

                 Changes in version 0.1.12 (2025-11-19)                 

  - feat: Add cluster_selection_epsilon parameter to HDBSCAN learner and
    initialize minPts to 5.
  - docs: Better learner example section.

                 Changes in version 0.1.11 (2025-02-18)                 

  - fix: Mclust learner no longer sets the control default with a
    function not in import to stay compliant with paradox package
    conventions.

                 Changes in version 0.1.10 (2024-10-03)                 

  - feat: Add BIRCH learner from the stream package.
  - feat: Add BICO learner from the stream package.

                 Changes in version 0.1.9 (2024-03-18)                  

  - feat: Add DBSCAN learner from the fpc package.
  - feat: Add HDBSCAN learner from the dbscan package.
  - feat: Add OPTICS learner from the dbscan package.
  - chore: Compatibility with upcoming paradox release.
  - chore: Move to testthat3.
  - refactor: General code refactoring.

                 Changes in version 0.1.8 (2023-03-12)                  

  - feat: Add new task based on ruspini dataset.

                 Changes in version 0.1.7 (2023-03-10)                  

  - chore: Replace 'clusterCrit' measures with alternatives from cluster
    and fpc packages.
  - fix: Remove broken unloading test.

                 Changes in version 0.1.6 (2022-12-22)                  

  - feat: Add states as row names to usarrests task.
  - fix: Remove dictionary items after unloading package.

                 Changes in version 0.1.5 (2022-11-01)                  

  - feat: Add Mclust learner.
  - fix: Fix error associated with new dbscan release.

                 Changes in version 0.1.4 (2022-08-14)                  

  - refactor: General code refactoring.

                 Changes in version 0.1.3 (2022-04-06)                  

  - feat: Add filter to PredictionClust.
  - fix: Small bug fixes.
  - refactor: General code refactoring.

                 Changes in version 0.1.2 (2021-09-02)                  

  - feat: Add Hclust learner.
  - feat: Add within sum of squares measure.
  - docs: Add tests and documentation for Hclust.
  - docs: Add documentation for WSS measure.
  - refactor: Code factor adaptations.

                 Changes in version 0.1.1 (2020-11-15)                  

  - feat: Add eight new learners.
  - feat: Add assignments and save_assignments fields to LearnerClust
    class.

                 Changes in version 0.1.0 (2020-10-01)                  

  - Initial upload to CRAN.