...文本聚类 [gap=931]words：Web services; clustering; complex networks; community structure detecting; documents clustering ...
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The method of Web documents clustering, which is a main branch of web mining, may be an excellent solution.
作为Web挖掘重要手段的Web文档聚类方法,能够较好的解决这一问题。
参考来源 - 面向B2C的Web文档聚类系统研究Another method is to extract sentences from some different subtopics which contained in the document set. In this method, documents clustering technique is used to find the subtopics.
该类方法通过文本聚类技术来发现潜在子主题,但目前大多数聚类方法在一定程度上都需要人为规定聚类的数目,并不能准确反映文本的实际情况,影响摘要效果。
参考来源 - 基于自适应聚类的中文多文档自动文摘研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Clustering together documents in a context aware method enables you to choose to focus on specific clusters and stories without needing to wade through a lot of unrelated ones.
将已知方法语境中的文档聚类(Clustering)有助于把注意力集中到某些特定的聚类和内容上，从而避免在无关的内容上浪费精力。
Search results clustering: Automatic grouping of documents into spontaneously labeled categories
搜索结果聚簇（Search results clustering）：将文档自动地分组进具有自然的标签的目录
I'll demonstrate clustering using vectors produced from Wikipedia documents, but the vectors can come from other areas, such as sensor data or user profiles.
我将使用通过Wikipedia文档生成的矢量来演示集群，但是也可以从其他地方获取矢量，比如说传感器数据或用户资料。
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