Which mathematical technique is most commonly used in retail data analytics systems to identify natural groupings of customers with similar purchasing behaviors?

Data analytics has revolutionized how retailers understand their customers. Behind every retail data analytics system are sophisticated mathematical models and algorithms that transform raw customer data into actionable insights. This poll tests your knowledge about the mathematical foundations that power modern retail analytics platforms and how they influence decision-making in the retail sector.

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K-means clustering
Fourier transforms
Laplace equations
Eigenvalue decomposition