Which mathematical technique is NOT commonly used in retail personalization algorithms for customer segmentation and behavioral analysis?

Modern retail personalization relies heavily on sophisticated mathematical algorithms that transform customer data into actionable insights. These algorithms power the recommendations you see when shopping online, the personalized offers you receive, and even determine optimal pricing strategies. Test your knowledge about the mathematical foundations that drive today's retail personalization technology!

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• Markov Chain Analysis
• Fourier Transform Decomposition
• K-means Clustering
• Principal Component Analysis (PCA)

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