Explain this in details including the calculations: if epsilon is 2 and minpoint is 2, what are the clusters that 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).
the distance matrix is the same as the one in exercise 1. draw the 10 by 10 space and illustrate the
discovered clusters. what if epsilon is increased to 10 ?