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| |
| # ST_DBSCAN |
| |
| Introduction: Performs a DBSCAN clustering across the entire dataframe. |
| |
| Returns a struct containing the cluster ID and a boolean indicating if the record is a core point in the cluster. |
| |
| - `epsilon` is the maximum distance between two points for them to be considered as part of the same cluster. |
| - `minPoints` is the minimum number of neighbors a single record must have to form a cluster. |
| - `useSpheroid` is whether to use ST_DistanceSpheroid or ST_Distance as the distance metric. |
| |
|  |
| |
| Format: `ST_DBSCAN(geom: Geometry, epsilon: Double, minPoints: Integer, useSpheroid: Boolean)` |
| |
| Return type: `Struct<isCore: Boolean, cluster: Long>` |
| |
| Since: `v1.7.1` |
| |
| SQL Example |
| |
| ```sql |
| SELECT ST_DBSCAN(geom, 1.0, 2, False) |
| ``` |
| |
| Output: |
| |
| ``` |
| {true, 85899345920} |
| ``` |