mlr3cluster 0.3.0

• 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.

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 usarrests 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.