Question: Using Manhattan distance (L1 norm) as distance function, apply DBSCAN and indicate which points are core points, border points and noise points. Use the following

Using Manhattan distance (L1 norm) as distance function, apply DBSCAN and

Using Manhattan distance (L1 norm) as distance function, apply DBSCAN and indicate which points are core points, border points and noise points.

Use the following parameter settings:

  • Radius = 1 and minPts = 2
  • Radius = 1 and minPts = 3
  • Radius = 1 and minPts = 4

Given the following dataset D in the 2-d feature space: 12 10 7 NI 1AHB) 1 2 3 4 5 6 7 89 10 11 12

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