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What is Customer Segmentation with Clustering Techniques about?

This case study report explores customer segmentation using clustering techniques for targeted marketing, highlighting the importance of classifying customers based on shared characteristics. It details the methodology involving data collection, preprocessing, and the application of algorithms like K-Means and DBSCAN to enhance marketing strategies. The outcomes demonstrate improved customer targeting, personalized marketing, and increased sales, emphasizing the role of data-driven approaches in optimizing

Author

Smiley a

Language

EN