Single linkage is a measure of calculating similarity between clusters by 1) computing the average similarity between every pair of observations between the two clusters. 2) considering only the two most similar observations in the two clusters. 3) considering only the two most dissimilar observations in the two clusters. 4) considering the distance between the cluster centroids.
Added by Amanda M.
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This means that it is used to determine how similar or dissimilar two clusters are to each other. Option 1 suggests computing the average similarity between every pair of observations between the two clusters. This is not correct because single linkage only Show more…
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Single linkage is a measure of calculating similarity between clusters by 1) considering only the two most similar observations in the two clusters 2) considering the distance between the cluster centroids. 3) considering only the two most dissimilar observations in the two clusters. 4) computing the average similarity between every pair of observations between the two clusters
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Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar? Observation 1 2 3 x1 3 9 5 x2 1 6 2 Observations 1&2 and 2&3 Observations 2&3 and 1&3 Observations 1&3 Observations 1&2
Madhur L.
Q2: Consider the following dataset which contains 9 binary symmetric attributes. Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 R Yes Yes Yes No No No Yes Yes No T No Yes No No Yes Yes Yes Yes Yes 1) Which one of the similarity measures is suitable to use for this dataset? (circle the correct answer) a. SMC b. Jaccard Coefficient. c. Cosine similarity Solution: Justify your answer. 2) Compute the similarity between R and T by using Jaccard Coefficient (Mathematically) Solution:
Sri K.
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