基于改进聚类算法在金融用户投资推荐中的应用研究

Application Research of Financial User Investment Recommendations Based on Improved Clustering Algorithm

在充分分析传统K-means和BIRCH聚类算法优缺点的基础上,提出改进的基于核心树的增量聚类算法,该算法可以很好地完成金融投资推荐任务,在一定程度上降低了金融用户投资风险,具有较强的实践意义。

Based on fully analyzing the merit and demerit of traditional k- means and BIRCH clustering algorithm,this article proposes an improved incremental clustering algorithm based on core-tree. This method can complete well the task of financial investment recommendation,which can reduce the risk of financial user investment,and have a better practical significance.