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Enhancing Online Retail Insights: K-Means Clustering and PCA for Customer Segmentation
6 references·0 citing·17 second hop
Enhancing Online Retail Insights: K-Means Clustering and PCA for Customer Segmentation (2025)Enhancing Online Retail Insights: K-Means…Customer Segmentation in Online Retail Using K-Means Clustering Classification and Principal Component Biplot (2024)Customer Segmentation in Onli…Incorporating K-means, Hierarchical Clustering and PCA in Customer Segmentation (2021)Incorporating K-means, Hierar…Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society (2020)Product recommendation for e-…A principal component analysis of customers' perceived risks for online retailing services: Evidence from Kenya (2019)A principal component analysi…Customer Segmentation using K-means Clustering (2018)Customer Segmentation using K…Customer Behaviour Segmentation Among Mobile Service Providers In Kenya Using K-Means Algorithm (2018)Customer Behaviour Segmentati…Research Methodology: Methods and Techniques (2004)Customer segmentation using unobserved heterogeneity in the perceived-value–loyalty–intentions link (2013)Mobile customer segmentation based on smartphone measurement (2013)Users Segmentation Based on Google Analytics Income Using K-Means (2021)K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)LRFS: Online Shoppers’ Behavior-Based Efficient Customer Segmentation Model (2024)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)RFM ranking – An effective approach to customer segmentation (2018)A comparative dimensionality reduction study in telecom customer segmentation using deep learning and PCA (2020)An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market (2023)Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)A Black Swan event-based hybrid model for Indian stock markets’ trends prediction (2022)The Effect of Artificial Intelligence on End-User Online Purchasing Decisions: Toward an Integrated Conceptual Framework (2022)A Novel Method for Exploring the Store Sales Forecasting using Fuzzy Pruning LS-SVM Approach (2023)Customer Segmentation Using Machine Learning (2021)Improving customer segmentation via classification of key accounts as outliers (2022)
this work references cited by second hop

References

  • 2018Customer Segmentation using K-means Clustering186 cited
  • 2020Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society87 cited
  • 2021Incorporating K-means, Hierarchical Clustering and PCA in Customer Segmentation54 cited
  • 2018Customer Behaviour Segmentation Among Mobile Service Providers In Kenya Using K-Means Algorithm13 cited
  • 2019A principal component analysis of customers' perceived risks for online retailing services: Evidence from Kenya8 cited
  • 2024Customer Segmentation in Online Retail Using K-Means Clustering Classification and Principal Component Biplot8 cited

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