Evaluating Student's Performance Using k-Means Clustering

Abstract

The student’s performance plays important role in success of any institution. With the significant increase in number of students and institutions, institutions are becoming increasingly performance oriented and are accordingly setting goals and developing strategies for their achievements. A system to analyze the performance of students using k-means clustering algorithm coupled with deterministic model is being described in this paper. The result of analysis will assist the academic planners in evaluating the performance of students during specific semester and steps that need to be taken to improve students’ performance from next batch onwards.