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DBSCANConfig

Variant

DBSCAN density-based clustering. See setup_DBSCAN.

Raw JSONv1Unknown properties rejected

Properties

eps
numberdefault 0.5> 0

Radius of neighborhood.

min_points
integerdefault 5≥ 1

Minimum number of points in a neighborhood to form a cluster.

border_points
booleandefault true

Assign border points to clusters.

search
stringdefault "kdtree"

Nearest neighbor search strategy.

one of"kdtree""linear""dist"

bucket_size
integerdefault 100≥ 1

Size of buckets for the k-d tree search.

split_rule
stringdefault "SUGGEST"

Rule for splitting the k-d tree.

one of"SUGGEST""STD""MIDPT""FAIR""SL_MIDPT""SL_FAIR"

approx
booleandefault false

Use approximate nearest neighbor search.

weights
number[] | null≥ 1 items

Optional weights for data points. null = unweighted.

Relationships

Used by