MACHINE LEARNING / REVIEW

Machine Learning-Based Approach and Customer Segmentation: A Review

A narrative review of how machine-learning clustering — K-means, hierarchical, Gaussian mixtures and density-based methods such as DBSCAN — reshapes customer segmentation into dynamic, data-driven frameworks, weighing algorithmic strengths and limits against the ethics of responsible deployment.