(b) A consumer panel evaluated six retail chain stores on ten service quality attributes. Based on their evaluations, the following similarity matrix shows the Euclidean distance between each pair of stores: Store number | 1 2 3 4 5 6 1 | 0 2 | 45 0 3 | 35 20 0 4 | 20 30 15 0 5 | 30 20 35 25 0 6 | 55 45 25 35 45 0 Use the average-linkage method to perform a bottom-up hierarchical clustering of the stores for a 5-cluster solution and a 4-cluster solution. Show the computations and the list of cluster members for each solution clearly.
Added by William F.
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Step 1
First, we need to create a distance matrix from the similarity matrix. We can do this by subtracting each similarity value from 1 (since we want to measure distance, not similarity). Distance matrix: ``` 45 35 20 20 30 15 45 0.00 Show more…
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