基于网格聚类算法的电力营销预测研究

EPMP Research Based on Grid Clustering Algorithm

本文阐述了数据挖据的一些主要的方法和技术,详细介绍了基于网格的聚类技术,采用foodmart数据库作为算法输入的数据集,应用基于网格距离的聚类算法的实现对电力营销中客户的购买行为进行了聚类和预测,并验证了算法的正确性和有效性。

In this paper, some main methods and techniques of data mining are introduced, especially the clustering technology based on grid in detail, the technique base on grid. A new method of distance-based grid clustering algorithm is applied with foodmart database as input dataset. The clustering and forecasting of the buying behavior of the EPM customers based on distance-based grid clustering algorithm is carried out. And the experiment result indicates that the the accuracy and effectiveness of this algorithm.