Which mathematical technique is most commonly used in retail analytics to identify groups of similar customers for targeted marketing campaigns?

Modern retail analytics relies heavily on mathematical models to predict consumer behavior and optimize operations. From predictive algorithms to statistical analysis, mathematics forms the foundation of how retailers make data-driven decisions. This poll tests your knowledge of the specific mathematical techniques that power today's sophisticated retail analytics systems.

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K-means clustering
Fourier transforms
Differential calculus
Euclidean geometry