Which mathematical technique is most commonly used in retail customer analytics to segment customers into distinct groups based on purchasing behavior?

In today's data-driven retail environment, advanced mathematical models play a crucial role in customer analytics. Behind every successful retail marketing strategy lies sophisticated mathematical algorithms that transform raw customer data into actionable insights. This trivia question explores how specific mathematical concepts are revolutionizing the way retailers understand and predict customer behavior patterns.

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K-means clustering algorithm
Fourier transform analysis
Laplace differential equations
Riemann zeta function