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

Contemporary Marketing
18th Edition
ISBN:9780357033777
Author:Louis E. Boone, David L. Kurtz
Publisher:Louis E. Boone, David L. Kurtz
Chapter14: Pricing Strategies
Section14.2: Forecasting Demand
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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

 

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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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