DBSCAN is a density based algorithm

Density=number of points within a specified radius

Total of 15 points) Apply the DBSCAN Algorithm with radius 1.9 and minPts-4 to the points as shown below: 8 [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE CELLRANGEI [CELLRANGE] [CELLRANGE) [CELLRANqEELLRANGE] 1 4 A) (10 points) Indicate the type of each point. That is, whether it is a core point, border point, or noise point. B) (5 points) Indicate the clusters obtained. Total of 15 points) Apply the DBSCAN Algorithm with radius 1.9 and minPts-4 to the points as shown below: 8 [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE CELLRANGEI [CELLRANGE] [CELLRANGE) [CELLRANqEELLRANGE] 1 4 A) (10 points) Indicate the type of each point. That is, whether it is a core point, border point, or noise point. B) (5 points) Indicate the clusters obtained