To improve the accuracy of text clustering, fuzzy c-means clustering based on topic concept sub-space (TCS2FCM) is introduced for classifying texts.

为了改善文本聚类的准确度，提出用基于主题概念子空间的模糊c -均值聚类(TCS2FCM)方法来分类文本。

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This paper introduces a common distance algorithm based on vectorial space, and proposes novel distance and classification algorithms which orient the topic on the basis of concept-semanteme space.

本文介绍了基于向量空间的常用距离的算法，并在概念语义空间的基础上，提出一种面向主题的距离和分类的算法。

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