Man pages for tidyclust
A Common API to Clustering
| augment | Augment data with predictions |
| cluster_fit | Model Fit Object Information |
| cluster_metric_set | Combine metric functions |
| cluster_spec | Model Specification Information |
| control_cluster | Control the fit function |
| convert_helpers | Helper functions to convert between formula and matrix... |
| cut_height | Cut Height |
| details_hier_clust_stats | Hierarchical (Agglomerative) Clustering via stats |
| details_k_means_ClusterR | K-means via ClusterR |
| details_k_means_clustMixType | K-means via clustMixType |
| details_k_means_klaR | K-means via klaR |
| details_k_means_stats | K-means via stats |
| dot-hier_clust_fit_stats | Simple Wrapper around hclust function |
| dot-k_means_fit_ClusterR | Simple Wrapper around ClusterR kmeans |
| dot-k_means_fit_clustMixType | Simple Wrapper around clustMixType kmeans |
| dot-k_means_fit_klaR | Simple Wrapper around klaR kmeans |
| dot-k_means_fit_stats | Simple Wrapper around stats kmeans |
| empty_ellipses | Get colors for tidyclust text. |
| extract_centroids | Extract clusters from model |
| extract_cluster_assignment | Extract cluster assignments from model |
| extract_fit_summary | S3 method to get fitted model summary info depending on... |
| extract-tidyclust | Extract elements of a tidyclust model object |
| finalize_model_tidyclust | Splice final parameters into objects |
| fit | Fit a Model Specification to a Data Set |
| get_centroid_dists | Computes distance from observations to centroids |
| glance.cluster_fit | Construct a single row summary "glance" of a model, fit, or... |
| hier_clust | Hierarchical (Agglomerative) Clustering |
| k_means | K-Means |
| knit_engine_docs | Knit engine-specific documentation |
| linkage_method | The agglomeration Linkage method |
| list_md_problems | Locate and show errors/warnings in engine-specific... |
| load_pkgs.cluster_spec | Quietly load package namespace |
| make_classes_tidyclust | Prepend a new class |
| min_grid.cluster_spec | Determine the minimum set of model fits |
| new_cluster_metric | Construct a new clustering metric function |
| new_cluster_spec | Functions required for tidyclust-adjacent packages |
| other_predict | Other predict methods. |
| predict.cluster_fit | Model predictions |
| prep_data_dist | Prepares data and distance matrices for metric calculation |
| reconcile_clusterings_mapping | Relabels clusters to match another cluster assignment |
| reexports | Objects exported from other packages |
| set_args.cluster_spec | Change arguments of a cluster specification |
| set_engine.cluster_spec | Change engine of a cluster specification |
| set_mode.cluster_spec | Change mode of a cluster specification |
| silhouette | Measures silhouette between clusters |
| silhouette_avg | Measures average silhouette across all observations |
| sse_ratio | Compute the ratio of the WSS to the total SSE |
| sse_total | Compute the total sum of squares |
| sse_within | Calculates Sum of Squared Error in each cluster |
| sse_within_total | Compute the sum of within-cluster SSE |
| tidy.cluster_fit | Turn a tidyclust model object into a tidy tibble |
| tidyclust-package | tidyclust: A Common API to Clustering |
| tidyclust_update | Update a cluster specification |
| translate_tidyclust | Resolve a Model Specification for a Computational Engine |
| tune_cluster | Model tuning via grid search |
