Which mathematical algorithm is MOST commonly used in retail machine learning systems to cluster customers into distinct segments for targeted marketing campaigns?

The intersection of mathematics and retail has transformed how businesses analyze consumer behavior and optimize sales strategies. Machine learning algorithms now power sophisticated recommendation systems and predictive analytics tools that retailers use to enhance the shopping experience. This poll tests your knowledge about how advanced mathematical models are revolutionizing retail decision-making through machine learning applications.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

K-means clustering
Simplex method
Euler's algorithm
Fourier transformation