Customer Segmentation Using K-Means Clustering in Unsupervised Machine Learning
Author:
Affiliation:
1. Galgotias College of Engineering & Technology,Greater Noida,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9725360/9725386/09725644.pdf?arnumber=9725644
Reference16 articles.
1. Competitive Advantages of Shadow Banking Industry: An Analysis Using Porter Diamond Model
2. Centroid Ratio for a Pairwise Random Swap Clustering Algorithm
3. An efficient k-means clustering algorithm: analysis and implementation
4. Customer Segmentation Architecture Based on Clustering Techniques
5. A Two Phase Clustering Method for Intelligent Customer Segmentation
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4. Segmentation of E-Commerce Data Using K-Means Clustering Algorithm;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01
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