object DBSCAN
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def
dbscan(dataframe: DataFrame, epsilon: Double, min_pts: Int, geometry: String = null, includeOutliers: Boolean = false, useSpheroid: Boolean = false): DataFrame
Annotates a dataframe with a cluster label for each data record using the DBSCAN algorithm.
Annotates a dataframe with a cluster label for each data record using the DBSCAN algorithm. The dataframe should contain at least one GeometryType column. Rows must be unique. If one geometry column is present it will be used automatically. If two are present, the one named 'geometry' will be used. If more than one are present and neither is named 'geometry', the column name must be provided. The new column will be named 'cluster'.
- dataframe
apache sedona idDataframe containing the point geometries
- epsilon
minimum distance parameter of DBSCAN algorithm
- min_pts
minimum number of points parameter of DBSCAN algorithm
- geometry
name of the geometry column
- includeOutliers
whether to include outliers in the output. Default is false
- useSpheroid
whether to use a cartesian or spheroidal distance calculation. Default is false
- returns
A PySpark DataFrame containing the cluster label for each row
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