RFM K-Means CUSTOMER CLASSIFICATION METHOD AND SYSTEM USING FRM AND K-MEANS ALGORITHM

• 1. 基于k-means算法的电力数据分类方法及系统 [P] . 中国专利： CN110796159A . 2020-02-14
• 2. 基于改进K-means算法的网络流量分类方法及系统 [P] . 中国专利： CN111740921A . 2020-10-02
• 3. RFM K-Means CUSTOMER CLASSIFICATION METHOD AND SYSTEM USING FRM AND K-MEANS ALGORITHM [P] . 韩国专利： KR102049166B1 . 2019-11-26

  机译： FRM和K-Means算法的RFM K均值客户分类方法和系统

• 4. K-MEANS APPARATUS AND METHOD OF MAKING WHITELIST FOR COMMUNICATION AMONG DEVICES USING K-MEANS ALGORITHM [P] . 韩国专利： KR102001812B1 . 2019-10-01

  机译： 使用k均值算法在设备之间进行通信的白名单的k均值设备和方法

• 5. NETWORK TRAFFIC CLASSIFICATION METHOD AND SYSTEM BASED ON IMPROVED K-MEANS ALGORITHM [P] . WO2021258961A1 . 2021-12-30

  机译： 基于改进的K均值算法的网络流量分类方法和系统

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• 2. Development of slope mass rating system using K-means and fuzzy c-means clustering algorithms [J] . Jalali Zakaria 矿业科学技术（英文版） . 2016,第006期
• 3. Development of slope mass rating system using K-means and fuzzy c-means clustering algorithms [J] . Jalali, Zakaria 矿业科学技术学报：英文版 . 2016,第006期
• 4. Development of slope mass rating system using K-means and fuzzy c-means clustering algorithms [J] . Jalali Zakaria 矿业科学技术学报：英文版 . 2016,第006期
• 5. A Multi-Feature Weighting Based K-Means Algorithm for MOOC Learner Classification [J] . Yuqing Yang, Dequn Zhou, Xiaojiang Yang 计算机、材料和连续体(英文) . 2019,第005期
• 6. An empirical study on customer risk management in banking industry: applying k-means and RFM methods (evidence from two Iranian private banks) [J] . Hiwa Farughi, Seiran Alaniazar, Seyedhamed Mousavipour International journal of risk assessment and management . 2016,第4期
• 7. Evaluation Of Fuzzy K-Means And K-Means Clustering Algorithms In Intrusion Detection Systems [J] . Farhad Soleimanian Gharehchopogh, Neda Jabbari, Zeinab Ghaffari Azar International Journal of Scientific & Technology Research . 2012,第11期
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• 9. Research on improved RFM customer segmentation model based on K-Means algorithm [C] . Yong Huang, Mingzhen Zhang, Yue He International Conference on Computational Intelligence and Applications . 2020
• 10. Contributions to k-means clustering and regression via classification algorithms [D] . Salman, Raied 2012
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• 12. Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods [O] . Rahma Wati Sembiring Brahmana, Fahd Agodzo Mohammed, Kankamol Chairuang 2020

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