Customer Segmentation Using Hierarchical Agglomerative Clustering

Phan Duy Hung · Nguyen Thi Thuy Lien · Nguyen Duc Ngoc

43 citations0/0 files storedInternational Conference on Information Science and Systems (ICISS)

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Customer churn and segmentation Advanced Clustering Algorithms Research Data Mining and Machine Learning Applications

Abstract

Customer segmentation plays an important role in customer relationship management. It allows companies to design and establish different strategies to maximize the value of customers. Customer segmentation refers to grouping customers into different categories based on shared characteristics such as age, location, spending habit and so on. Similarly, clustering means putting things together in such a way that similar type of things remain in the same group. In this study, a machine learning (ML) hierarchical agglomerative clustering (HAC) algorithm is implemented in the R programming language to perform customer segmentation on credit card data sets to determine the appropriate marketing strategies.

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2010Data Mining Techniques in CRM: Inside Customer Segmentation 2001Segmentation of bank customers by expected benefits and attitudes 2018Market Segmentation Analysis and Visualization using K-Mode Clustering Algorithm for E-Commerce Business

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