Customer Segmentation of Credit Card Default by Self Organizing Map

• 作者: Chang-Chun Wang Hui Wu
• 来源期刊: 美国计算数学期刊(英文)
• 学科: 工学
• 关键词: Self ORGANIZING Map CLUSTERING Machine Learning CREDIT DEFAULT
• 年，卷（期）: 2018,（3）
• 页码范围: 197-202
• 页数: 6页
• 分类号: TP39

摘要

In this paper we applied the technique of Self Organizing Map (SOM) to segment individuals based on their credit information. SOM is an unsupervised machine learning method that reduces data complexity and dimensionality while keeping sits original topology, which is superior to other dimension reduction methods especially when features in data have unclear nonlinear relations. Through this method we provide more clear and intuitive segmentation that other traditional methods cannot achieve.