Problem 5: (14 points) Clustering Algorithm Analysis1) (5 Po…

Problem 5: (14 points) Clustering Algorithm Analysis1) (5 Points) Given a scenario, K-means cluster may NOT work very well (2 points).Explain why (3 points). 2) (5 Points) Given a scenario, DBSCAN algorithm could NOT work very well (2 points).Explain why (3 points). 3) (4 Points) How can we improve the random initialization of classic K-means algorithm?