Capital Normal University, Information Engineering College, Beijing, 100048, China

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Abstract—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.

Index Terms—data mining, cluster analysis

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Cite: Lijuan Zhou, Yuyan Chen, and Shuang Li, "Study and Application of an Improved Clustering Algorithm," Journal of Software vol. 7, no. 6, pp. 1234-1241, 2012.