Which mathematical algorithm revolutionized retail big data analytics by enabling real-time customer segmentation with 40% greater accuracy than previous methods?

The intersection of mathematics and retail analytics has transformed how stores make decisions and engage customers. Advanced algorithms and statistical models now power everything from inventory optimization to personalized marketing. This poll tests your knowledge about a groundbreaking mathematical innovation that changed retail big data analytics forever.

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TensorFlow's Neural Decision Trees (2018)
The Latent Dirichlet Allocation (LDA) Model (2003)
Gradient Boosting Matrix Factorization (GBMF) (2015)
Kohonen's Self-Organizing Maps (1982)