Question is on the left and it's data set is on right. Please answer it asap need to submit it tommorow

2. Use OPTICS algorithm to output the reachability distance and the cluster ordering for the dataset provided discovering the cluster ordering: minPts 2 and epsilon 2. Use epsilonprime 1.2 to generate clusters from the cluster ordering and their reachability distance. Don't forget to record the core distance of a data point if it has a dense neighborhood. You don't need to include the core distance in your result but you may need to use them in generating clusters. (45 pts) Use the following parameters for Instance 1 Instance2 Instance3 Instance 4 Instance 5 Instance6 Instance7 Instance8 Instance9 Instance 10 Instance 11 Instance 12 Instance 13 Instance 14 Instance 15 Instance 16 Instance 17 Instance 18 Instance 19 Instance 20 Instance 21 Instance 22 Instance 23 Instance 24 Instance 25 Instance 26 Instance 27 Instance 28 Instance 29 Instance 30 0 0 12 13 13 8.5 13 12 13 13 13 Dataset visualization 10 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 13 Instance (X,Y) Reachability Distance 16 11.5 13 12 14 14.5 15 15 12 10.5 10 9 16 Instance 1: 1,1) Undefined (or infinity) Instance 2: (0,1) 1.0 Instance 3 1, 0) 1.0 Instance 16 5, 9) Undefined 10 13 12.5 11.5 10.5 9.5 9.5 10.5 4 9 Instance 13: (9, 2) Undefined Instance 14: (10,1) 1.14142