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    • 1. 发明申请
    • Methods and apparatus for rank-based response set clustering
    • 基于秩的响应集聚类的方法和装置
    • US20070112867A1
    • 2007-05-17
    • US11272784
    • 2005-11-15
    • David EvansVictor SheftelJeffrey BennettDavid Hull
    • David EvansVictor SheftelJeffrey BennettDavid Hull
    • G06F17/30
    • G06F16/355
    • A method for identifying clusters of similar documents from among a set of documents is described. A particular document is selected based on rank from among a ranked set of documents, 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 satisfy a similarity condition are found from among the available documents using a search based upon the probe. Some or all documents found are associated with a particular cluster of documents. The process can be repeated to generate further clusters. The method can be implemented with a computer, and associated programming instructions can be contained within a compute readable carrier.
    • 描述了从一组文档中识别类似文档的簇的方法。 基于排名的一组文档中的等级选择特定文档,其中所述一组文档的排名集合被包括在该组文档的可用文档中。 基于特定文档生成探针。 该探针包括一个或多个特征。 从使用基于探测的搜索的可用文档中找到满足相似性条件的文档。 找到的一些或所有文档与特定的文档集群相关联。 可以重复该过程以产生更多的聚类。 该方法可以用计算机实现,并且相关联的编程指令可以包含在计算可读载体内。
    • 2. 发明申请
    • Methods and apparatus for probe-based clustering
    • 用于探针聚类的方法和装置
    • US20070112898A1
    • 2007-05-17
    • US11272785
    • 2005-11-15
    • David EvansVictor SheftelJeffrey Bennett
    • David EvansVictor SheftelJeffrey Bennett
    • G06F17/30
    • G06F16/35
    • A method for identifying clusters of similar documents from among a set of documents is described. A particular document is selected from among available documents of the set of documents, and a probe is generated based on the particular document. The probe comprises one or more features. Documents are found that satisfy a similarity condition using the probe from among the available documents. Some or all of the documents that satisfy the similarity condition are associated with a particular cluster of documents. The process can be repeated to generate further clusters. The method can be implemented with a computer, and associated programming instructions can be contained within a compute readable carrier.
    • 描述了从一组文档中识别类似文档的簇的方法。 从文档集合的可用文档中选择特定文档,并且基于特定文档生成探针。 探针包括一个或多个特征。 发现使用可用文件中的探针满足相似性条件的文档。 满足相似性条件的一些或全部文档与特定的文档集合相关联。 可以重复该过程以产生更多的聚类。 该方法可以用计算机实现,并且相关联的编程指令可以包含在计算可读载体内。