High-Dimensional Data Clustering For Customers With Duplicate Attribute Values
2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016)（2016）
摘要
Customer analysis problem is often involved in high-dimensional data analysis. In addition, the duplicates often disrupt the cluster analysis. This paper focuses on the customer analysis of an educational organization by clustering. Eliminating duplicates is implemented to improve the clustering result.
更多查看译文
关键词
Unsupervised High Dimensional Data Mining, Sparse Representation, Spectral Clustering, Customer Analysis, NESR, Dictionary Learning
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要