DBSCANConfig
VariantDBSCAN density-based clustering. See setup_DBSCAN.
Properties
epsnumber> 0Radius of neighborhood.
min_pointsinteger≥ 1Minimum number of points in a neighborhood to form a cluster.
weightsarray | null≥ 1 itemsWeights for data points. NULL = unweighted. Must have one value per case.
border_pointsbooleanAssign border points to clusters.
searchstringNearest neighbor search strategy.
one of
"kdtree""linear""dist"bucket_sizeinteger≥ 1Size of buckets for the k-d tree search.
split_rulestringRule for splitting the k-d tree.
one of
"SUGGEST""STD""MIDPT""FAIR""SL_MIDPT""SL_FAIR"approxbooleanUse approximate nearest neighbor search.
Relationships
Used by