基于k-均值算法利率等级模型的建立

Establishment of Interest Rate Grade Model Based on K-means Algorithm

本文提出的利率等级模型是根据零售企业已有的销售数据并参考其它一些报表数据所得出商品的利润,用利率公式计算商品利率,然后用数据挖掘中的k-均值聚类算法对之进行建模,最终得出商品的利率等级。与传统的人为划分利率等级相比,此模型不仅很大地提高了准确度,而且也大大减少了工作量。

This paper put forward the interest rate grade model presented obtains profits based on the retail sales data referred to enterprises and a number of other commodities report data, then got the interest rate with the commodity rates formula and put forward a new interest rate grade model based on the k - means clustering algorithm in data mining, eventually we obtained the interest rate level of goods. Compared with the traditional artificial division interest rates, the model could not only greatly improve the accuracy but also reduce the workload.