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What is Customer Segmentation with Clustering Techniques about?

This document outlines a session focused on implementing K-means, hierarchical clustering, and DBSCAN algorithms on a customer dataset for marketing insights. It provides an overview of the Mall Customer Dataset, details on clustering methods, and visualizations to analyze customer segmentation based on income and spending behavior. The document also discusses the evaluation of clustering methods using silhouette scores and highlights the strengths and weaknesses of each clustering technique.

Author

Sumit Chapagai

Language

EN