Which mathematical technique revolutionized retail market segmentation by allowing companies to identify hidden patterns in customer purchasing behavior across thousands of products?

In the competitive world of retail analytics, mathematics has transformed how companies understand customer demographics and behavior. Advanced algorithms now power segmentation strategies that were impossible just a decade ago. This poll tests your knowledge of how mathematical innovations have specifically impacted retail market segmentation and the competitive advantage they provide to modern retailers.

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K-means clustering algorithms, which group customers into distinct segments based on purchase similarities
Fourier transforms, which convert time-domain purchase data into frequency-domain representations
Lagrangian multipliers, which optimize promotional pricing across different customer segments
Markov chain analysis, which predicts the next likely purchase based on previous transaction history