In hierarchical clustering, the distance between clusters is typically measured using the ______________ criterion.Select one:a.Cosine similarityb.Manhattan distancec.Linkage criteriond.Euclidean distance

Which of the following distance metrics is commonly used in hierarchical clustering?Cosine similarityEuclidean distanceJaccard indexHamming distance

Given the following code snippet for performing hierarchical clustering in Python: from scipy.cluster.hierarchy import linkage, dendrogramimport matplotlib.pyplot as plt X = [[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]]Z = linkage(X, method='single', metric='euclidean')dendrogram(Z)plt.show() Which part of the code specifies the method for determining the distance between clusters?linkage(X, method='single', metric='euclidean')dendrogram(Z)metric='euclidean'X = [[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]]

The ______________ linkage criterion is a popular choice for hierarchical clustering, which merges the two clusters that have the minimum distance between them.Select one:a.Averageb.Singlec.Centroidd.Complete

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

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