fast_plscan

Public API for the plscan package.

Classes

PLSCAN(*[, min_samples, space_tree, metric, ...])

PLSCAN computes HDBSCAN* leaf-clusters with an optimal minimum cluster size.

Functions

clusters_from_spanning_forest(sorted_mst, ...)	Compute PLSCAN clusters from a sorted minimum spanning forest.
extract_mutual_spanning_forest(graph, *[, ...])	Computes a mutual spanning forest from a sparse CSR distance matrix.
compute_mutual_spanning_tree(data, *[, ...])	Computes a mutual reachability spanning tree from data features using a KDTree.
get_distance_callback(metric, *[, p, V, VI])	Returns a fast distance function callback for the specified metric.
compute_centroids_from_features(data, ...)	Compute probability-weighted centroids from feature vectors.
compute_exemplar_indices_from_trees(...)	Compute exemplar point indices per cluster from fitted tree structures.
compute_medoid_indices_from_features(data, ...)	Compute cluster medoid indices from feature vectors.
compute_medoid_indices_from_graph(graph, ...)	Compute cluster medoid indices from a sparse mutual-reachability graph.