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)
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)
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)
generics::tune_args() and generics::tunable() are now registered unconditionally (#115).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().
NEWS.md file to track changes to the package.