Which mathematical algorithm is MOST commonly used in retail customer analytics for identifying natural groupings of similar shoppers without predefined categories?

In today's data-driven retail environment, advanced mathematics powers customer analytics systems that transform shopping experiences. From predictive models that anticipate purchasing patterns to clustering algorithms that segment customers, mathematics provides the foundation for modern retail intelligence. This poll tests your knowledge of how specific mathematical concepts are applied in cutting-edge retail customer analytics platforms.

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K-means clustering
Linear regression
Simplex method
Fourier transform