Question 1 of 30
In a retail company, the marketing team wants to analyze customer purchasing behavior to create targeted promotions. They decide to use an unsupervised learning algorithm to segment their customers into distinct groups based on their buying patterns. Which of the following approaches would best serve their objective?
Implementing a clustering algorithm to group customers with similar purchasing habits.
Utilizing a regression model to predict future purchases based on historical data.
Applying a classification algorithm to categorize customers into predefined segments.
Employing a time series analysis to forecast future buying trends based on past data.

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