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Changelog

Source: NEWS.md

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.