刘海峰, 姚泽清, 刘守生. 一种基于模糊加权的改进文本聚类方法[J]. 微电子学与计算机, 2011, 28(9): 39-42.
引用本文: 刘海峰, 姚泽清, 刘守生. 一种基于模糊加权的改进文本聚类方法[J]. 微电子学与计算机, 2011, 28(9): 39-42.
LIU Hai-feng, YAO Ze-qing, LIU Shou-sheng. An Improved Text Clustering Method Based on Fuzzy Weighting[J]. Microelectronics & Computer, 2011, 28(9): 39-42.
Citation: LIU Hai-feng, YAO Ze-qing, LIU Shou-sheng. An Improved Text Clustering Method Based on Fuzzy Weighting[J]. Microelectronics & Computer, 2011, 28(9): 39-42.

一种基于模糊加权的改进文本聚类方法

An Improved Text Clustering Method Based on Fuzzy Weighting

  • 摘要: 首先提出了一种优化初始中心点方法用以解决聚类的局部最优问题.同时通过样本的模糊加权减少边缘噪音数据对聚类效率的影响.文本聚类试验表明, 该模糊文本聚类算法取得较好的聚类效果.

     

    Abstract: This paper proposes a new way that selects initial cluster center in order to solve the partially most superior phenomenon.By using the fuzzy weighting on the samples, this improved method decreases the influence that the k-means algorithm is very sensitive to the isolated point.Lastly, we have a test about text clustering and the result shows that this method obtains good clustering effect.

     

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