Study and Application of an Improved Clustering Algorithm

This paper, combined with the characteristics of the early warning about students' grade, represents an optimization algorithm in order to solve the random selection from the initial clustering center of results to cause major influence this volatility defects .It has integrated into the open source WEKA platform. The optimized algorithm not only guarantees the accuracy of the original algorithm, but also improves the stability of the algorithm.