The Application For Cluster Analysis In Customer Classification Of H Bank

Clustering analysis is one of the important functions of data mining, the research has made great strides in recent years in the field of development. Clustering analysis method involved in the field of almost in every aspect of artificial intelligence, information analysis based on all walks of life more and more important role in the activities of decision support system. In e-commerce, image processing, pattern recognition, text classification, and other fields have a wide range of applications. In this paper, the application of clustering analysis algorithm in customer classification carried on the thorough research, the main research work is as follows:1) Clustering analysis technology, in-depth study of cluster analysis of various algorithms is analyzed in detail.2) Key research clustering analysis algorithm is widely used in system clustering algorithm. Compare the advantages of system clustering algorithm and other clustering algorithm, analyzing the applicability of each method, and the applicability of the clustering in the customer classification system.3) Clustering algorithm in the further study of the system, on the basis of classifying H online bank transfer system of the customer. Involved in the process of classification and the parameters of variable selection, distance measurement, the establishment of the data bazaar, data pretreatment, etc were described in detail.4) The use of system clustering algorithm to the customer account classification results after verification, the result proved the effectiveness of the proposed clustering algorithm on the customer classification. After classifying based on screening out valuable customers for targeted marketing, the number of paying customers increase rate improved compared with the test operation stage.This article introduces clustering analysis in data mining to the bank marketing strategy analysis, the market marketing strategy and strategy provides a very scientific reference system, as well as all kinds of enterprises in the direction of the digital operation provides a very valuable in practice.