Unsupervised learning involves training a model on unlabeled data, letting it find patterns or groupings on its own, without explicit outputs provided. Clustering is a primary unsupervised learning technique.
Option A is correct: Grouping customers based on purchase history (without predefined categories) is clustering, a classic unsupervised task.
B and C are supervised learning (classification and regression, respectively).
D is reinforcement learning, not unsupervised learning.
"Unsupervised learning involves training on data without labels and is often used for clustering or dimensionality reduction."
(Reference: AWS Certified AI Practitioner Official Study Guide, AWS ML Concepts)
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