adjusted_rand_index     Adjusted Rand Index
centers                 Cluster centers
ceteris_paribus         Ceteris paribus profiles for clustering
cluster                 Fit a clustering solution
clusters                Cluster assignments
explore                 Explore clustering structure
feature_importance      Permutation feature importance for clustering
lime_explain            LIME-style local explanations for clustering
membership              Membership matrix
metacluster             Fit a consensus meta-clustering solution
method_used             Method used
mixed_distance          Compute a mixed-type distance matrix
n_clusters              Number of clusters
phynotype-package       phynotype: Clustering Workflows and Consensus
                        Meta-Clustering
phynotype-scales        Discrete color/fill scales matching
                        'theme_phynotype'
plot_biplot             Plot a cluster biplot
plot_cluster_sizes      Plot cluster sizes
plot_clusters           Plot clustered observations in 2D
plot_coassoc            Plot the co-association matrix
plot_consensus          Plot consensus clustering in 2D
plot_dendrogram         Plot a clustering dendrogram
plot_feature_profiles   Plot feature profiles by cluster
plot_silhouette         Plot silhouette widths
predict.cluster_fit     Predict cluster assignments for new
                        observations
prepare_mixed_data      Prepare mixed-type data for numeric clustering
                        methods
prototypes              Cluster prototypes
sizes                   Cluster sizes
theme_phynotype         phynotype ggplot2 theme
validate                Validate clustering results
