Algorithms Research And Instance Application Of Cluster Analysis In Customer Relation Management

Today is an e-commerce era, whose primary characteristic is directed by the client. Adopting the information technology, the Customer Relationship Management(CRM) can provide decision-makers with the valuable and interested information from the numerous and jumbled data. As one of Data Mining technolgies, the Cluster Analysis can analyse the data without preexistent knowledge and direction. Through using the advanced algorithm appropriately, we can find the valuable information hiden in the abundant data and improve the quality of the analysis and explanation. In addition, this usage can provide the scientific judgement for subsequent data-analysis-and-processing implement. Anciently, many algorithms concentre the study on the compact and regular data distributing, only few research give the whole attention to the contrary, and this research often combine with local minimum. Maybe those can ameliorate the clustering effect, but the clustering performance isn't radically improved. Considering the difference of the using of the clustering algorithms cased by the diffference of the data distributing in the interspace, on the base of the analysis of K-Means Algorithm,Fuzzy c-Means Algorithm and Genetic Algorithm, this article bring forward the new algorithm based on the Genetic Algorithm and the improved neighbor function criterion. In view of the intrinsic connection of the special and the virtue of Genetic Algorithm's whole-search strategy, to a certian extent, this new algorithm can commendably solve the problem about the uncompact and irregular distribution, and provide the helpful discussion on such this problem. How to make use of the technical theoretics into practice, namely to use the clustering analysis technology to divide up the market or client on the foundation of Customer Satisfaction in CRM, the thesis design an instance based on a valuable example. This example compare the applied effect among the different algorithm mentioned above, validating the avail of Data Mining in practice, coming into being the new idea about settling the practical problem in CRM.