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

Which of the following is NOT a type of clustering?  Answer areaHierarchical clusteringDensity-based clusteringAgglomerative clusteringDecision tree clustering

The unsupervised learning algorithm which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest centroid is Hierarchical clustering K-means clustering KNN None of the above

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

Which of the following is TRUE about unsupervised learning?I.  Unsupervised learning refers to the problem of finding hidden structures within unlabeled data.II.  Clustering techniques are unsupervised in the sense that the data scientist does not determine, in advance, the labels to apply to the clusters.II only neither I nor IIboth I and III only

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