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Suppose you are given two sets of 100 points that fall within the unit square. One set of points (a) is arranged so that the

Suppose you are given two sets of 100 points that fall within the unit square. One set of points (a) is arranged so that the points are uniformly spaced. The other set of points (b) is randomly generated from a uniform distribution over the unit square.

(i) How does the behavior of DBSCAN differ on (a) and (b)?

(ii) How does the behavior of DBSCAN and K-means differ on (b)?

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