Application of E-Commerce Sites Evaluation Based on Factor Analysis and Improved DBSCAN Algorithm

With the rapid development of E-commerce, how to evaluate the E-commerce sites accurately has become an important issue. However, evaluation index of E-commerce sites has characteristics of high dimensions and uneven density, which leads to bad performance of the evaluation result. To analyze 100 E-commerce demonstration enterprises in 2013-2014 named by the Ministry of Commerce People's Republic of China, this paper reduces dimensionality by factor analysis method firstly, then implements an improved DBSCAN algorithm to process the uneven density data, lastly gives suggestions to these 100 E-commerce enterprises based on experiment results.