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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.
![ST_DBSCAN](../../../image/ST_DBSCAN/ST_DBSCAN.svg "ST_DBSCAN")
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}
```