Which mathematical concept revolutionized retail customer segmentation by allowing retailers to identify natural groupings in high-dimensional customer data without predetermined categories?

In the world of retail, mathematics plays a crucial role in customer analytics. Advanced algorithms and statistical models help retailers understand shopping patterns, predict future behaviors, and optimize their offerings. But how well do you understand the mathematical foundations that power modern retail customer analytics? Test your knowledge with this challenging question about a key mathematical concept that revolutionized how retailers analyze customer behavior.

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K-means clustering algorithm
Markov chain analysis
Bayesian inference networks
Monte Carlo simulation