目前已有一些聚类算法应用于银行客户细分的实验。
Currently, there are some applications of clustering algorithms in customer segmentation of bank for experiments.
实验表明，该算法用于对银行客户细分有较好的聚类效果。
Experiments show that the algorithm has good clustering qualities when it is used to partition customers.
本文阐述了数据挖掘技术在银行客户细分中的具体应用，并对其有效性进行了探讨。
This paper described the actual application of data mining in banking customer segmentation, and also discussed its effectiveness.
应用推荐