In agglomerative hierarchical clustering, what happens when two clusters are merged?The original clusters remain unchangedThe number of clusters increases by oneThe distance matrix is updated to reflect the new clusterThe algorithm terminates

In hierarchical clustering, which linkage method considers the maximum distance between points in the clusters when merging two clusters?Complete linkageAverage linkageSingle linkageWard linkage

In agglomerative hierarchical clustering, what does the algorithm begin with?1 pointEach data point in a separate clusterAll data points in one clusterA predefined number of clustersThe optimal number of clusters

Example 10.3 Agglomerative versus divisive hierarchical clustering. Figure 10.6 shows the appli- cation of AGNES (AGglomerative NESting), an agglomerative hierarchical clustering method, and DIANA (DIvisive ANAlysis), a divisive hierarchical clustering method, on a data set of five objects, {a, b, c, d, e}. Initially, AGNES, the agglomerative method, places each object into a cluster of its own. The clusters are then merged step-by-step according to some criterion. For example, clusters C1 and C2 may be merged if an object in C1 and an object in C2 form the minimum Euclidean distance between any two objects from solve

37.What is true about complete linkage in hierarchical clustering?  A. We merge in each step the 2 clusters whose closest members have member have smallest distance  B. the inter cluster distance is defined as the shortest distance between two points (one point in each cluster)  C. distance between 2 clusters is defined as average distance between each points in one cluster to every point in other cluster  D. Clusters are separated by sparse regions based on density

The ______________ linkage criterion is a popular choice for hierarchical clustering, which merges the two clusters based on the distance between their centroids.Select one:a.Completeb.Singlec.Centroidd.Average