Package index

Clustering

Clustering algorithms.

shoal_kmeans()

K-Means Clustering

shoal_gmm()

Gaussian Mixture Model

shoal_dbscan()

DBSCAN Clustering

shoal_hdbscan()

HDBSCAN Clustering

shoal_evoc()

EVoC: Embedding Vector Oriented Clustering

shoal_hclust()

Hierarchical Agglomerative Clustering

shoal_slic()

Graph SLIC Superpixels

Distances

Pairwise distance matrices and nearest-neighbour search.

shoal_dist()

Pairwise Distance Matrix

shoal_knn() print(<shoal_knn>) plot(<shoal_knn>)

k-Nearest Neighbours

Validation

Assessing a clustering, and choosing the number of clusters.

shoal_silhouette()

Silhouette Widths

shoal_metrics()

Internal Cluster Validity Indices

shoal_energy() shoal_energy_self()

Two-Sample Energy Distance

Methods

Shared print and plot methods, and prediction for centroid models.

plot(<shoal_clustering>)

Plot clustering results

shoal_palette()

Default cluster palette

print(<shoal_clustering>) print(<shoal_hdbscan>) print(<shoal_evoc>) print(<shoal_kmeans>) print(<shoal_gmm>) print(<shoal_slic>)

Print a clustering result

predict(<shoal_kmeans>)

Assign New Observations to Fitted Clusters

predict(<shoal_gmm>)

Predict Mixture Membership

logLik(<shoal_gmm>)

Log-Likelihood of a Fitted Mixture

Configuration

Runtime settings.

shoal_threads()

Threads used by the Rust backends

Data

Bundled datasets.

rings

Concentric rings with noise

newsgroups

Sentence embeddings of newsgroup posts