Use OPTICS algorithm to output the reachability distance and the cluster ordering for the dataset provided, starting from Instance 1. Use the following parameters for discovering the cluster ordering: minPts =2 and epsilon =2. Use epsilonprime =1.2 to generate clusters from the cluster ordering and their reachability distance. Dont forget to record the core distance of a data point if it has a dense neighborhood. You dont need to include the core distance in your result but you may need to use them in generating clusters.

Below are the first few lines of the calculation. You need to complete the remaining lines and generate clusters based on the given epsilonprime value: Instance (X,Y) Reachability Distance ==================================== Instance 1: (1, 1) Undefined (or infinity) Instance 2: (0, 1) 1.0 Instance 3: (1, 0) 1.0 Instance 16: (5, 9) Undefined Instance 13: (9, 2) Undefined Instance 14: (10,1) 1.14142

1 o15 04 025 o15 o D o18 011 o10 o30 Dataset visualization