Assignment #3: DBSCAN, OPTICS, and Clustering Evaluation
DBScan would discover with the following 8 examples: A1=(2,10), A2=(2,5), A3=(8,4),
A4=(5,8), A5=(7,5), A6=(6,4), A7=(1,2), A8=(4,9). Use the Euclidean distance. Draw the 10 by 10 space and illustrate the discovered clusters. What if Epsilon is increased to sqrt(10)? (30 pts)
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 12: (8, 2) 1
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