1. Which method would you choose to compute dissimilarity between clusters using the distance between two observations, one from each cluster,that are the most different? a. Group average linkage b. Ward's method C. single linkage d.Complete linkage 2.Cluster analysis is often used for what business purpose? a.Segmenting customers b. predicting product demand c. Forecasting revenue d.Assessing product success
1. Which method would you choose to compute dissimilarity between clusters using the distance between two observations, one from each cluster,that are the most different?
a. Group average linkage b. Ward's method C. single linkage d.Complete linkage
2.Cluster analysis is often used for what business purpose?
a.Segmenting customers b. predicting product demand c. Forecasting revenue d.Assessing product success
The method that uses the distance between two observations, one from each cluster, that are the most different to compute dissimilarity between clusters is "d. Complete linkage". This method is also known as farthest neighbor method or maximum method, where the distance between two clusters is defined as the maximum distance between any two points, one from each cluster.
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