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object DBSCAN

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  6. 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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