sklearn.cluster.cluster_optics_dbscan

sklearn.cluster.cluster_optics_dbscan(reachability, core_distances, ordering, eps)

Performs DBSCAN extraction for an arbitrary epsilon.

Extracting the clusters runs in linear time. Note that this results in labels_ which are close to a DBSCAN with similar settings and eps, only if eps is close to max_eps.

Parameters:

reachability : array, shape (n_samples,)

Reachability distances calculated by OPTICS (reachability_)

core_distances : array, shape (n_samples,)

Distances at which points become core (core_distances_)

ordering : array, shape (n_samples,)

OPTICS ordered point indices (ordering_)

eps : float

DBSCAN eps parameter. Must be set to < max_eps. Results will be close to DBSCAN algorithm if eps and max_eps are close to one another.

Returns:

labels_ : array, shape (n_samples,)

The estimated labels.

Examples using sklearn.cluster.cluster_optics_dbscan

Demo of OPTICS clustering algorithm