text of the document clustering 说明文本聚类的文档
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
The combination of the ant clustering technology and the text clustering technology leads to the development of ant-based text clustering algorithms.
蚁群聚类算法与文本聚类技术的结合就形成了基于蚁群的文本聚类算法。
Computing method of weighted value for feature item based on text representation can determine extraction of text feature, which have influence on accuracy of the text clustering.
文本表示中特征项的权值计算方法决定了文本特征的提取，在很大程度上影响了文本聚类的准确率。
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