# mlr3cluster 0.2.0

* 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).

# mlr3cluster 0.1.12

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

# mlr3cluster 0.1.11

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

# mlr3cluster 0.1.10

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

# mlr3cluster 0.1.9

* 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.

# mlr3cluster 0.1.8

* feat: Add new task based on `ruspini` dataset.

# mlr3cluster 0.1.7

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

# mlr3cluster 0.1.6

* feat: Add states as row names to `usarrest` task.
* fix: Remove dictionary items after unloading package.

# mlr3cluster 0.1.5

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

# mlr3cluster 0.1.4

* refactor: General code refactoring.

# mlr3cluster 0.1.3

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

# mlr3cluster 0.1.2

* 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.

# mlr3cluster 0.1.1

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

# mlr3cluster 0.1.0

* Initial upload to CRAN.
