Consider the following dissimilarity matrix for use in hierarchical clustering using average linkage. 0.4 0.3 0.9 0.4 0.8 0.7 D = 0.3 0.8 0.5 0.9 0.7 0.5 Suppose you merge the most similar points and then recalculate the new dissimilarity matrix. In the new dissimilarity matrix, what value is the same as in the original dissimilarity matrix D above. None of the above. O 0.8 O 0.5 0.7

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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Consider the following dissimilarity matrix for use in hierarchical clustering using
average linkage.
0.4 0.3 0.9
0.4
0.8 0.7
D =
0.3 0.8
0.5
0.9 0.7 0.5
Suppose you merge the most similar points and then recalculate the new
dissimilarity matrix. In the new dissimilarity matrix, what value is the same as in
the original dissimilarity matrix D above.
O None of the above.
0.8
0.5
O 0.7
Transcribed Image Text:Consider the following dissimilarity matrix for use in hierarchical clustering using average linkage. 0.4 0.3 0.9 0.4 0.8 0.7 D = 0.3 0.8 0.5 0.9 0.7 0.5 Suppose you merge the most similar points and then recalculate the new dissimilarity matrix. In the new dissimilarity matrix, what value is the same as in the original dissimilarity matrix D above. O None of the above. 0.8 0.5 O 0.7
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