A retailer wants to group its customers into segments based on purchasing behavior, without any predefined labels for the groups. Which data mining technique is most suitable?

Correct answer: A) Clustering

Explanation

Clustering is an unsupervised learning technique that groups observations by similarity without predefined categories. Classification is supervised and requires labeled examples, and regression predicts a continuous outcome.