Question 2+1-0Tag to RevisitWhich clustering method is best suited for discovering clusters of arbitrary shape?Answer areaK-MeansDBSCANAgglomerative clusteringK-Medoids

DBSCAN can identify clusters of arbitrary shape.Review LaterTrueFalse

10.16 Describe each of the following clustering algorithms in terms of the following crite-ria: (1) shapes of clusters that can be determined; (2) input parameters that must bespecified; and (3) limitations.(a) k-means(b) k-medoids(c) CLARA(d) BIRCH(e) CHAMELEON(f) DBSCAN

Which clustering algorithm does not require specifying the number of clusters beforehand?Hierarchical clusteringDBSCANK-MeansAgglomerative clustering

Which of the following algorithms is commonly used for hierarchical clustering?Agglomerative clusteringExpectation-Maximization (EM)DBSCANK-Means

Which of the following statements regarding clustering are true?<br /> A. 1. DBSCAN can identify noise points in addition to clusters. <br />B. 2. DBSCAN requires the user to specify the number of clusters beforehand. <br />C. 3. Hierarchical clustering results depend on distance and linkage criteria. <br />D. 4. K-means clustering guarantees convergence to the global optimum.