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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

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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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