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What could be the possible reason(s) for producing two different dendrograms using an agglomerative clustering algorithm for the same dataset?

A. Proximity function used

B. of data points used

C. of variables used

D. B and c only

E. All of the above

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Answer: (E)

Change in either of the proximity function, no. of data points, or no. of variables will lead to different clustering results and hence different dendrograms.

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