tidyclust 0.2.4

• The philentropy package is now used to calculate distances rather than Rfast. (#199)

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

• tidyclust is on CRAN