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METHODS AND APPARATUS FOR RANK-BASED RESPONSE SET CLUSTERING

机译:基于排名的响应集聚类的方法和装置

摘要

A method for identifying clusters of similar documents from among a set of documents is descπbed A particular document is selected based on rank from among a ranked set of documents (Figure 1, Item 102), wherein the ranked set of documents are included among available documents of the set of documents A probe is generated based on the particular document The probe comprising one or more features Documents that satisf) a similarity condition are found from among the available documents using a search based upon the probe (Figure 1, Item 105, and 106) Some or all documents found are associated with a particular cluster of documents (Figure 1, 108) The process can be repeated to generate fiirther clusters (Figure 1, 110) The method can be implemented with a computer, and associated programming instructions can be contained within a compute readable carrier.
机译:描述了一种用于从一组文档中识别相似文档的簇的方法。基于等级从一组排序的文档中选择特定的文档(图1,项102),其中,该排序的文档集包括在可用文档中。一组文档中的一个,根据特定文档生成一个探针。包含一个或多个特征的探针,使用基于探针的搜索,从可用文档中找到满足相似条件的文档(图1,项目105,以及106)找到的某些或所有文档与特定的文档集群相关联(图1,108)可以重复此过程以生成更高级的集群(图1,110)。可以使用计算机来实现该方法,并且可以使用关联的编程指令被包含在计算可读载体中。

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