QUESTION 1:

Given the points above and the (Euclidean) distance space provided, specify the output of running the DBSCAN clustering algorithm using radius (e) = 1 and min points = 3.

A ) Specify how many clusters were generated:

B ) Specify how many points were labeled as noise:

QUESTION 2:

Given the points above and the (Euclidean) distance space provided, specify the output of running the DBSCAN clustering algorithm using radius (e) = 2 and min points = 3.

A ) Specify how many clusters were generated:

B ) Specify how many points were labeled as noise:

PLEASE ANSWER ALL PARTS OF QUESTIONS 1 AND 2 AND PROVIDE EXPLANATION!! THANK YOU!

::: O 1 unit of distance ::: O 1 unit of distance