Notice of RetractionCluster Analysis and its Application in Student Grants

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Nowadays there still exists many problems with regard to student grants in higher education in practice, especially the judgement standard related to poor students. Aiming at the issue, we make use of the data from campus smart card system of certain college, and carry out data mining of poor students to derive groups with different characteristics by clustering analysis. Different groups have adopted different subsidizing ways, which could help grant centre´s administrator to make rational decision. The results show that the method presented in this paper can improve the discrimination accuracy, and reduce the impact of subjective factors, so as to better reflect the fairness of education.