在这裡我们将改良 一种自动化群聚搜寻结果的方法(Clustering on Search Results)先将搜寻结果进行分群动作，再依群组重要度 取出我们需要的网页。
基于16个网页-相关网页
Finally, incremental algorithm of producing concept lattice is used to carry on concept clustering to the passage of search results, and produced the theme of each cluster result from it.
最后，使用增量式的概念格生成算法对搜索结果片段进行概念聚类，并从中产生每个聚类的主题。
The search result clustering technique is dedicated to group search results into topics on the fly and gives each group an accurate and readable label.
检索结果聚类技术致力于实时地将检索结果按主题整理成若干类别，并赋予每个类别一个准确可读的标签。
Clustering search's purpose is to help users find information quickly, it's outstanding feature is based on a property, on the search results returned by the cluster.
聚类搜索的目的就是为了快速帮助用户寻找信息，它的突出特点是根据某一属性，对搜索返回的结果进行聚类。
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