Tianhao Ouyang and Xiaoyong Lu.  Application of Two-stage Classification Method Based on K-means Function Clustering Algorithm in Financial Management.  Dynamic Systems and Applications 29 (2020) No. 3, 1014-1026

https://doi.org/10.46719/dsa202029348

ABSTRACT.
In this paper, through the study of the K-means algorithm, it is used in the research of financial customers. After using data mining and clustering algorithms, we can use different financial products of a financial institution as an example to cluster the k-means function. Research related investment and financial product portfolios, and then conduct classification research on different commodities, analyze their circulation behavior, and provide more accurate guidance to sales. This method can realize the classification management of a certain group and allocate banks more effectively. Financial resources, avoid risks that can be avoided, and maximize profits.

Keywords: k-means function; financial A certain one management; financial product management; clustering algorithm