Question
You are working with a data set consisting of 7 continuous variables and 500 observations. You wish to group the observations together as you explore
You are working with a data set consisting of 7 continuous variables and 500 observations. You wish to group the observations together as you explore the data set to help identify interesting patterns.
You decide to use KMeans clustering to group similar observations together. Why should you consider standardizing the variables before running the KMeans clustering algorithm? Select all that apply.
a. Variables with small natural levels of variation will not contribute to the distance calculation
b. Variables with large natural variation will dominate the distance calculation
c. So that you can visualize the histograms together
d. So that you can visualize the boxplots together
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