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What is Enhanced Customer Segmentation in E-commerce about?

This document proposes an improved machine learning-based customer segmentation framework for e-commerce sites. The framework has five components: cluster tendency test, building a clustering model, comparing K-means and hierarchical clustering, comparing K-means and DBSCAN, and providing insights and recommendations. The aim is to identify different customer types like best, potential loyal, and at-risk customers to help e-commerce sites target customer groups that will provide more revenue and apply new m

Author

ishrat jahan

Language

EN