Research on the Application of Clustering Technology for Multi-dimensional Data in Stratified Sampling of Electronic Government Audit

This paper analyzes the significance of clustering technology for electronic government auditing, proposes to apply the clustering method based on the primary and secondary attribute to the stratified sampling algorithm so as to adapt to the need of stratified sampling for multidimensional data. Compared with the traditional methods, the paper proposed a new solution to implement the auditing stratified sampling system for electronic government.