Which mathematical technique is NOT commonly used in retail analytics systems for product recommendation?

Retail analytics uses sophisticated mathematical techniques to transform customer data into actionable insights. From predictive models forecasting demand to clustering algorithms identifying customer segments, mathematics forms the backbone of modern retail decision-making. Test your knowledge about the mathematical foundations that power retail analytics systems used by major companies worldwide.

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Fourier Transform Analysis
Collaborative Filtering
Association Rule Mining
K-means Clustering