Which mathematical technique has been proven most effective for identifying micro-segments in retail markets when working with high-dimensional customer behavior data?

In today's data-driven retail environment, mathematical modeling has revolutionized market segmentation strategies. Advanced algorithms and statistical methods help retailers identify distinct customer groups with precision that was impossible just a decade ago. This poll tests your knowledge about how specific mathematical concepts are being applied to create competitive advantages in modern retail segmentation.

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t-SNE (t-Distributed Stochastic Neighbor Embedding)
Simple linear regression analysis
Bayesian inference networks
Markov chain modeling