Which mathematical clustering algorithm revolutionized retail market segmentation in the 2010s by enabling more precise customer behavior pattern identification?

In the world of retail and mathematics, data analytics has revolutionized how companies understand consumer behavior. Behind every successful retail strategy lies sophisticated mathematical models that transform raw data into actionable insights. This poll tests your knowledge about a groundbreaking mathematical concept that changed how retailers approach market segmentation and customer targeting.

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K-means clustering
DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
Hierarchical agglomerative clustering
Gaussian mixture models