实验结果表明该方法的有效性，将该方法用于搜索结果聚类这一应用中。
Experimental results show that the method is effective, and the method is used to describe the search result clustering.
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。
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.
针对目前搜索引擎搜索结果中普遍存在大量重复网页的现象，提出了一种基于聚类算法DBSCAN的搜索结果优化算法。
The search results got by current search engines generally include a large number of duplicate Web pages. A search results optimization algorithm based on DBSCAN clustering algorithm was proposed.
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