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A Novel 3D Clustering Algorithm for Customer Segmentation
4 references·0 citing·16 second hop
A Novel 3D Clustering Algorithm for Customer Segmentation (2024)A Novel 3D Clustering Algorithm for Custo…Machine Learning/Deep Learning for Natural Disasters (2022)Machine Learning/Deep Learnin…Customer Segmentation Using Machine Learning (2021)Customer Segmentation Using M…Data Mining Approach for Customer Segmentation in B2B Settings using Centroid-Based Clustering (2019)Data Mining Approach for Cust…Customer segmentation using centroid based and density based clustering algorithms (2017)Customer segmentation using c…Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Bank Selection Decisions and Market Segmentation (1976)A Review of Data-Driven Market Segmentation in Tourism (2002)Customer Market Segmentation using Machine Learning Algorithm (2022)Improving customer segmentation via classification of key accounts as outliers (2022)Enhancing Segmentation: A Comparative Study of Clustering Methods (2025)Big data analytics: turning big data into big money (2013)A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology (2015)RFM ranking – An effective approach to customer segmentation (2018)Automatic and Adaptive Segmentation of Customer in R framework using K-means Clustering Technique (2022)Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services (2015)Customer portfolio management (CPM) for improved customer relationship management (CRM): Are your customers platinum, gold, silver, or bronze? (2016)Behavioral Segmentation with Product Estimation using K-Means Clustering and Seasonal ARIMA (2022)Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Disaster identification scheme based on federated learning and Cognitive Internet of Vehicles (2025)
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References

  • 2017Customer segmentation using centroid based and density based clustering algorithms46 cited
  • 2021Customer Segmentation Using Machine Learning45 cited
  • 2022Machine Learning/Deep Learning for Natural Disasters27 cited
  • 2019Data Mining Approach for Customer Segmentation in B2B Settings using Centroid-Based Clustering25 cited

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