An ICM RME KB is represented as a tree of nodes, with each node containing statistical knowledge or rules that assist the system in classifying text.
ICMRME知识库表示为节点树，每个节点包含统计学知识和规则，用来帮助系统对文本进行分类。
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。
When this happens, you can assist Eclipse in classifying what kind of content is in the file - either text data or binary data.
当发生这种情况时，您可以帮助Eclipse对文件中的内容进行分类——是文本数据，还是二进制数据。
Bayes method has the higher rate of accuracy while in the text classifying.
贝叶斯方法在文本分类中具有较高的准确率。
Text Categorization means under a defined classifying system, texts are classified automatically according to the contents.
文本分类是指在给定的分类体系下，根据文本的内容自动地确定文本所属的类别。
Text Categorization means under a defined classifying system, texts are classified automatically according to the contents.
文本分类是指在给定的分类体系下，根据文本的内容自动地确定文本所属的类别。
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