What is the final resultant cluster size in Divisive algorithm, which is one of the hierarchical clustering approaches?Review LaterZeroThreeTwosingleton

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

How is the optimal number of clusters determined in hierarchical clustering?*1 pointBy minimizing the between-cluster sum of squaresBy maximizing the within-cluster sum of squaresBy examining the dendrogram and selecting an appropriate cut-off pointBy using the elbow method on the resulting tree structure

40.Which of the following is correct regarding Divisive clustering?  A. initial stage is single cluster with all samples and process proceed by splitting intermediate cluster until all elements are separated  B. process starts from bottom and proceeds by merging cluster until stop criteria reached  C. requires prior knowledge of no of clusters you want to divide data into  D. Bottom-up approach

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

The method / metric which is NOT useful to determine the optimal number of clusters in unsupervised clustering algorithms isReview LaterDendogramElbow methodScree plotNone of the above.