Which mathematical technique is most commonly used in retail big data analytics to identify groups of similar customers for targeted marketing campaigns?

Big data analytics in retail relies heavily on mathematical principles and statistical models. From forecasting customer behavior to optimizing inventory, mathematics is the backbone of modern retail analytics. This trivia question explores how specific mathematical concepts are applied to extract meaningful insights from retail big data, helping businesses make informed decisions and gain competitive advantage.

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K-means clustering
Fourier analysis
Differential calculus
Euclidean geometry