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 is a type of hierarchical clustering?Answer areaK-MeansDBSCANAgglomerative clusteringMean Shift

Which of the following is NOT a clustering algorithm, commonly used in Unsupervised Learning?a.Random Forestb.DBSCANc.K-Meansd.Hierarchical Clustering

Which clustering algorithm can handle datasets with noise and outliers?Review LaterK-MeansAgglomerative Hierarchical ClusteringDBSCANDivisive Clustering

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.