Module cluster 

Clustering algorithms: K-Means, Mini-Batch K-Means, DBSCAN, HDBSCAN, Agglomerative Clustering, and silhouette scoring.

Structs

AgglomerativeClustering

Agglomerative (hierarchical) clustering.

Dbscan

DBSCAN (Density-Based Spatial Clustering of Applications with Noise).

Hdbscan

HDBSCAN clustering model.

KMeans

K-Means clustering.

MergeStep

A single merge event in the dendrogram.

MiniBatchKMeans

Mini-Batch K-Means clustering.

Enums

Linkage

Inter-cluster distance measure for agglomerative clustering.

Functions

silhouette_samples

Compute per-sample silhouette coefficients.

silhouette_score

Compute the mean silhouette coefficient across all samples.