Research on Customer Relationship of Power Marketing Based on Clustering Model of Internet

Abstract

After entering the new century, information technology and Internet technology have developed rapidly, and the application of network technology has become more and more widely used. In the power marketing relationship, the adoption of new technologies has become increasingly important for the management of customer relationship. This paper combines the concept of difference degree in data mining clustering analysis algorithm to design an evaluation tool suitable for this model. The degree of difference in cluster analysis of data mining is used to describe the similarity between two objects. When the attribute values of the description object are different, the calculation method of the difference degree is also different. In the field of clustering analysis problems, a method for calculating the degree of difference has been proposed for the problem of two-dimensional variable high-dimensional sparse clustering.