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tidyclust 0.2.3

• Update to fix revdep issue for clustMixType. (#190)

tidyclust 0.2.2

• Update to fix revdep issue for ClusterR. (#186)

tidyclust 0.2.1

• Small change to let tune package have easy CRAN release. (#178)

tidyclust 0.2.0

New Engines

• The clustMixType engine as been added to k_means(). This engine allows fitting of k-prototype models. (#63)

• The klaR engine as been added to k_means(). This engine allows fitting of k-modes models. (#63)

Improvements

• Engine specific documentation has been added for all models and engines. (#159)

Bug Fixes

• Fixed bug where engine specific arguments were passed along for k_means() when the engine ClusterR. (#142)

• Fixed bug where prefix argument wouldn’t be correctly passed through extract_cluster_assignment(), extract_centroids(), and predict() (#145)

• Metric functions now error informatively if used with unfit cluster specifications. (#146)

• Fixed bug that caused cluster ordering in extract_fit_summary(). (#136)

• Using extract_cluster_assignment(), extract_centroids() and predict() on a fitted hier_clust() model without specifying num_clust or cut_height now gives more informative error message. (#147)

• k_means() now errors informatively if fit() without num_clust specified. (#134)

• Fixed bug where levels didn’t match number of clusters if prediction on fewer number of observations. (#158)

• Fixed bug where tune_cluster() would error if used with an recipe that contained non-predictor variables such as id variables. (#124)

Breaking Changes

• Exported internal functions ClusterR_kmeans_fit(), stats_kmeans_fit(), and hclust_fit() have been renamed to .k_means_fit_ClusterR(), .k_means_fit_stats(), and .hier_clust_fit_stats() to reduce visibility for users.

• Cluster reordering is now done at the fitting time, not the extraction and prediction time. (#154)

tidyclust 0.1.2

• The cluster specification methods for generics::tune_args() and generics::tunable() are now registered unconditionally (#115).

tidyclust 0.1.1

• Fixed bug where extract_cluster_assignment() and predict() sometimes didn’t have agreement of clusters. (#94)

• silhouette() and silhouette_avg() now return NAs instead of erroring when applied to a clustering object with 1 cluster. (#104)

• Fixed bug where extract_cluster_assignment() doesn’t work for hier_clust() models in workflows where num_clusters is specified in extract_cluster_assignment().

tidyclust 0.1.0

• Added a NEWS.md file to track changes to the package.

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.