Optimizing the Performance of Factor Analysis Model by Using Clustering——Take Electric Vehicle as an Example

Abstract

As people pay more attention to environmental protection, electric vehicles occupy a larger share of the entire automobile sales market. However, due to the rapid development of electric vehicles and their structure being quite different from that of traditional fuel vehicles, many potential consumers still have some misunderstandings when buying electric vehicles, they still use the logic of traditional fuel vehicles to examine electric vehicles. This paper uses factor analysis and EM cluster analysis to analyze the data on electric vehicles (EVs) and try to maximize the information on EVs at a smaller cost. This paper first introduces the ideas of factor analysis and EM cluster analysis as well as the data related to EVs and then states the generated models. Then, analyzes the data of electric vehicles using two methods respectively and obtains the analysis results. Finally, this paper combines the two analysis methods to get the final model with higher universal applicability and pertinence.