Question: Problem 5 : ( 1 4 points ) Clustering Algorithm Analysis 1 ) ( 5 Points ) Given a scenario, K - means cluster may

Problem 5: (14 points) Clustering Algorithm Analysis
1)(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-meansalgorithm?

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