Using the data given, apply hierarchical clustering with 5 clusters using Wait Time (min), Purchase Amount ($),
Customer Age, and Customer Satisfaction Rating as variables. Be sure to Normalize input data in Step 2 of the
XLMiner Hierarchical Clustering procedure. Use Ward's method as the clustering method.
a. Use a PivotTable on the data in the HC_Clusters1 worksheet to compute the cluster centers for the five clusters
in the hierarchical clustering.
b. Identify the cluster with the largest average waiting time. Using all the variables, how would you characterize
this cluster?
c. Identify the smallest cluster.
d. By examining the dendrogram on the HC_Dendrogram worksheet (as well as the sequence of clustering stages
in HC_Output1), what number of clusters seems to be the most natural fit based on the distance?
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