The Application Study Of K-means Algorithm In Selecting The Purchasing-Agent-Points For The E-Shop

The development of e-commerce is a sword with two blades, which brings people's lives great convenience and challenges as well. It's predicted that shopping online combinating with the real life community is future trend of online shopping, for it deals well with the shopping safety issues, the payment issues and the service issues, in which, purchasing-agent-point(PAP) pattern is one of the best ones. While, with the development of PAP, some new problems follows, including their poor stability and the rising administrative cost. To take enough advantages of PAPs, E-commerce company must map out the sites of the PAPs as reasonably as possible.People have done great research on Locating for a long time, and achieved great results. Cluster analysis method is widely used in all walks of research, including in the facility locating domain. It studies selecting PAPs with k-means method.Firstly, the thesis briefly introduces the development of e-commerce and e-commerce logistics, the characters of PAPs. It also reviews the study of location and cluster analysis in and out of home and the contemporary world study in PAPs. Addresses the magnificent significance and presents the main goal and contents of this thesis. Secondly, the thesis overviews the characteristics of customers'needs, the objectives and constraints of selecting PAPs and the way to use k-means algorithm in locating. The thesis focuses on descripting the key attributes in selecting and measuring the similarity between them with some kind of distance. The thesis also thinks about how to match k-means algorithm with selecting PAPs. At last, the thesis studies classic case about selecting PAPs for e-commerce company 2688. The thesis gets some results with the help of SPSS, and it studies the results as well.