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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The four information types (topic, concept, task, and reference) represent the primary content categories used in the technical documentation community.

这四种信息类型(主题、概念、任务和引用)代表了技术文档团体中使用的基本内容类型。

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DITA articles are generally divided by information type: The tool as written supports migrations to topic, concept, reference, and task information types.

DITA文章通常按信息类型划分，该工具支持到主题(topic)、概念(concept)、参考(reference)和任务(task)信息类型的迁移。

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DITA articles are generally divided by information type: The tool as written supports migrations to topic, concept, reference, and task information types.

DITA文章通常按信息类型划分，该工具支持到主题(topic)、概念(concept)、参考(reference)和任务(task)信息类型的迁移。

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