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DBSCANConfig

Variant

DBSCAN density-based clustering. See setup_DBSCAN.

Raw JSONv1Unknown properties rejected

Properties

eps
number> 0

Radius of neighborhood.

min_points
integer≥ 1

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

weights
array | null≥ 1 items

Weights for data points. NULL = unweighted. Must have one value per case.

border_points
boolean

Assign border points to clusters.

search
string

Nearest neighbor search strategy.

one of"kdtree""linear""dist"

bucket_size
integer≥ 1

Size of buckets for the k-d tree search.

split_rule
string

Rule for splitting the k-d tree.

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

approx
boolean

Use approximate nearest neighbor search.

Relationships

Used by