Felipe-ML-Projects/Customer-Segmentation-Clustering

This project applies and compares four unsupervised machine learning clustering algorithms — K-Means, Hierarchical Clustering (Agglomerative), DBSCAN, and HDBSCAN, to segment mall customers based on their demographic and behavioral profiles. It can be applied to the renters in "The American Dream Mall in East Rutherford, NJ" for example.

语言：Jupyter Notebook · GitHub 星标：9 · Fork：1

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