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Changelog

Source: NEWS.md

mlr3cluster (development version)

  • breaking: LearnerClustAP now defaults includeSim to FALSE to avoid storing the n x n similarity matrix in the model.
  • breaking: LearnerClustCLARA now defaults keep.data to FALSE.
  • fix: Add mlr3cluster to mlr_reflections$loaded_packages to fix errors when using mlr3cluster in parallel.
  • fix: as_prediction_clust.data.frame() no longer errors with unused argument (with = FALSE) when given a plain data.frame.
  • feat: Add finite mixture model clustering learner clust.flexmix from the flexmix package.
  • feat: Add Genie hierarchical clustering learner clust.genie from the genieclust package.
  • feat: Add k-centroids cluster analysis learner clust.kcca from the flexclust package, supporting k-means, k-medians, spherical, Jaccard, and extended Jaccard families.
  • feat: Add self-organizing maps clustering learner clust.som from the kohonen package.
  • feat: Add spherical k-means clustering learner clust.skmeans from the skmeans package.
  • feat: Add von Mises-Fisher mixture clustering learner clust.movMF from the movMF package.
  • feat: Add robust trimmed clustering learner clust.tclust from the tclust package.
  • feat: Add ST-DBSCAN clustering learner clust.stdbscan from the stdbscan package.

mlr3cluster 0.3.0

CRAN release: 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.

mlr3cluster 0.2.0

CRAN release: 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).

mlr3cluster 0.1.12

CRAN release: 2025-11-19

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

mlr3cluster 0.1.11

CRAN release: 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.

mlr3cluster 0.1.10

CRAN release: 2024-10-03

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

mlr3cluster 0.1.9

CRAN release: 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.

mlr3cluster 0.1.8

CRAN release: 2023-03-12

  • feat: Add new task based on ruspini dataset.

mlr3cluster 0.1.7

CRAN release: 2023-03-10

  • chore: Replace ‘clusterCrit’ measures with alternatives from cluster and fpc packages.
  • fix: Remove broken unloading test.

mlr3cluster 0.1.6

CRAN release: 2022-12-22

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

mlr3cluster 0.1.5

CRAN release: 2022-11-01

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

mlr3cluster 0.1.4

CRAN release: 2022-08-14

  • refactor: General code refactoring.

mlr3cluster 0.1.3

CRAN release: 2022-04-06

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

mlr3cluster 0.1.2

CRAN release: 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.

mlr3cluster 0.1.1

CRAN release: 2020-11-15

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

mlr3cluster 0.1.0

CRAN release: 2020-10-01

  • Initial upload to CRAN.