Question: Using K-means in practice In the previous activity, K-means clustering was used to group credit card customers. What insights can be gained from the output
Using K-means in practice In the previous activity, K-means clustering was used to group credit card customers. What insights can be gained from the output of this analysis? Share your insights by answering the following questions: How many clusters are appropriate for the credit card data set? Using the pairs plot as reference, what insights can be drawn from the analysis about customer behaviour? Are there any surprising insights?
Step by Step Solution
There are 3 Steps involved in it
Determining the appropriate number of clusters for the credit card dataset involves examining various metrics such as the withincluster sum of squares ... View full answer
Get step-by-step solutions from verified subject matter experts
