Sara is a marketing analysis manager for a top cereal producer. Part of her job is to review product sales to grocery chains and if the contracted product shelf placement is the optimal location to maximize sales. Because of the large data sets, she is only interested in creating a small number of clusters to view the results. What type of clustering method would work best?
A) hierarchical clustering
B) agglomerative clustering
C) divisive clustering
D) k-means clustering

Question

Quizplus · Accepted Answer

K-means clustering is the most suitable method for Sara's needs because it allows for the specification of the number of clusters beforehand, making it ideal for analyzing large datasets when only a small number of clusters is desired. This method is efficient for quickly categorizing data into a predefined number of clusters, which aligns with Sara's goal of reviewing product sales and shelf placement optimality without needing to sift through an overly detailed or complex cluster structure.

Sara Is a Marketing Analysis Manager for a Top Cereal