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)