Select all the correct statements regarding the DBSCAN algorithm

Select all the correct statements regarding the DBSCAN algorithm

In the sklearn implementation of DBSCAN the distance function is set with the $`$metric$`$ parameter.

There's no need to define a distance function for the DBSCAN clustering method.

Generally, the epsilon value should be determined before the distance function.

The choice of the distance function is tightly coupled with the choice of epsilon.

Generally, the distance function should be determined before the epsilon value.

In the sklearn implementation of DBSCAN the distance function is set with the $`$distance$\_$metric$`$ parameter.

In the sklearn implementation of DBSCAN the distance function is set with the $`$distance$`$ parameter.