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    • 1. 发明申请
    • Object clustering methods, ensemble clustering methods, data processing apparatus, and articles of manufacture
    • 对象聚类方法,集群聚类方法,数据处理设备和制造
    • US20070174268A1
    • 2007-07-26
    • US11331529
    • 2006-01-13
    • Christian PosseBobbie-Jo Webb-RobertsonSusan HavreBanu GopalanAnuj Shah
    • Christian PosseBobbie-Jo Webb-RobertsonSusan HavreBanu GopalanAnuj Shah
    • G06F17/30
    • G06K9/6226G06F16/355
    • Object clustering methods, ensemble clustering methods, data processing apparatuses, and articles of manufacture are described according to some aspects. In one aspect, an object clustering method includes accessing a plurality of respective cluster results of a plurality of different clustering solutions, wherein the cluster results of an individual one of the different clustering solutions associate a plurality of objects with a plurality of respective first clusters and indicate probabilities of the objects being correctly associated with the respective ones of the first clusters of the respective individual clustering solution, and using the cluster results including the associations of the objects and the first clusters of the respective different clustering solutions and the probabilities of the objects being correctly associated with the respective first clusters of the respective different clustering solutions, generating additional associations of the objects with a plurality of second clusters and wherein the additional associations comprise additional cluster results of an additional clustering solution.
    • 根据一些方面描述对象聚类方法,集合聚类方法,数据处理设备和制品。 在一个方面,一种对象聚类方法包括访问多个不同聚类解的多个相应聚类结果,其中,所述不同聚类解中的单独一个的聚类结果将多个对象与多个相应的第一聚类相关联,并且 指示对象正确地与相应的单独聚类解决方案的第一个聚类中相应的对象相关联的概率,并且使用包括各个不同聚类解决方案的对象和第一聚类的关联的聚类结果以及对象的概率 与相应的不同聚类解决方案的相应的第一聚类正确相关联,生成对象与多个第二聚类的附加关联,并且其中附加关联包括附加聚类解决方案的附加聚类结果。