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Question28 Which of the following statements are CORRECT? (You can choose more than one).Select one or more alternatives: Hierarchical clustering is flexible for interpretation Hierarchical Clustering can be sensitive to noise and outliers Hierarchical clustering requires predefined number of clusters Hierarchical clustering works well for large datasets Hierarchical clustering can be unstable ResetMaximum marks: 1.5 Flag question undefined
Options
A.Hierarchical clustering is flexible for interpretation
B.Hierarchical Clustering can be sensitive to noise and outliers
C.Hierarchical clustering requires predefined number of clusters
D.Hierarchical clustering works well for large datasets
E.Hierarchical clustering can be unstable
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Question 28 asks which statements about hierarchical clustering are CORRECT, with the possibility of selecting more than one option.
Option 1:
'Hierarchical clustering is flexible for interpretation' — This is generally true. Hierarchical clustering produces a dendrogram that users can cut at different levels to obtain different numbers of clusters, and the results can be interpreted at multi......Login to view full explanationLog in for full answers
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