sklearn.cluster
.cluster_optics_dbscan¶
- sklearn.cluster.cluster_optics_dbscan(*, reachability, core_distances, ordering, eps)[source]¶
Perform DBSCAN extraction for an arbitrary epsilon.
Extracting the clusters runs in linear time. Note that this results in
labels_
which are close to aDBSCAN
with similar settings andeps
, only ifeps
is close tomax_eps
.- Parameters:
- reachabilityarray of shape (n_samples,)
Reachability distances calculated by OPTICS (
reachability_
).- core_distancesarray of shape (n_samples,)
Distances at which points become core (
core_distances_
).- orderingarray of shape (n_samples,)
OPTICS ordered point indices (
ordering_
).- epsfloat
DBSCAN
eps
parameter. Must be set to <max_eps
. Results will be close to DBSCAN algorithm ifeps
andmax_eps
are close to one another.
- Returns:
- labels_array of shape (n_samples,)
The estimated labels.
Examples using sklearn.cluster.cluster_optics_dbscan
¶
Demo of OPTICS clustering algorithm
Demo of OPTICS clustering algorithm