Which mathematical technique is primarily used in retail customer analytics to identify natural clusters of similar shopping behaviors without predefined categories?

In the world of retail mathematics, customer analytics has evolved dramatically. Sophisticated algorithms now transform purchasing patterns into predictive models that drive business decisions. But how well do you understand the mathematical foundations behind modern retail analytics? This trivia question tests your knowledge of how mathematical principles are applied in retail customer analytics to extract meaningful insights from seemingly random consumer behaviors.

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Regression Analysis
K-means Clustering
Fourier Transformation
Bayesian Inference Networks