A New Student Achievement Evaluation Method Based on k-means Clustering Algorithm

Abstract

This article puts forward an improved k-means clustering algorithm for the student achievement evaluation. Through the empirical analysis, we can explore the importance of evaluating the student achievement of the inner information hidden in the student score data, which can make up the drawbacks of the traditional methods.