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6.  def dbscan(dataframe: DataFrame, epsilon: Double, minPts: Int, geometry: String = null, includeOutliers: Boolean = true, useSpheroid: Boolean = false, isCoreColumnName: String = "isCore", clusterColumnName: String = "cluster"): 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

   dataframe to cluster. Must contain at least one GeometryType column

   epsilon

   minimum distance parameter of DBSCAN algorithm

   minPts

   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

   isCoreColumnName

   what the name of the column indicating if this is a core point should be. Default is "isCore"

   clusterColumnName

   what the name of the column indicating the cluster id should be. Default is "cluster"

   returns

   The input DataFrame with the cluster label added to each row. Outlier will have a cluster value of -1 if included.

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