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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} conventions

mlr3cluster 0.1.10

• feat: Add BIRCH learner from ‘stream’ package
• feat: Add BICO learner from ‘stream’ package

mlr3cluster 0.1.9

• feat: Add DBSCAN learner from ‘fpc’ package
• feat: Add HDBSCAN learner from ‘dbscan’ package
• feat: Add OPTICS learner from ‘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

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

mlr3cluster 0.1.2

• feat: Add Hclust learner
• docs: Add tests and documentation for Hclust
• feat: Add within sum of squares measure
• 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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.