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    • 29. 发明授权
    • Clustering data including those with asymmetric relationships
    • 聚类数据,包括具有不对称关系的数据
    • US06925460B2
    • 2005-08-02
    • US09815616
    • 2001-03-23
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • G06F7/00G06F17/30
    • G06F17/30719G06F17/3071Y10S707/99933Y10S707/99935
    • The present invention relates to a method, system and computer program product for clustering data points and its application to text summarization, customer profiling for web personalization and product cataloging.The method for clustering data points with defined quantified relationships between them comprises the steps of obtaining lead value for each data point either by deriving from said quantified relationships or as given input, ranking each data point in a lead value sequence list in descending order of lead value, assigning the first data point in said lead value sequence list as the leader of the first cluster, and considering each subsequent data point in said lead value sequence list as a leader of a new cluster if its relationship with the leaders of each of the previous clusters is less than a defined threshold value or as a member of one or more clusters where its relationship with the cluster leader is more than or equal to said threshold value. The said relationships between data points are symmetric or asymmetric. Similarly, system and computer program product have also been claimed.
    • 本发明涉及用于聚类数据点的方法,系统和计算机程序产品及其应用于文本摘要,用于web个性化和产品编目的客户分析。 用于对其中具有定义的量化关系的数据点进行聚类的方法包括以下步骤:通过从所述量化关系导出或作为给定输入来获取每个数据点的引导值,以引导值序列表中的每个数据点按铅的降序排列 将所述引导值序列列表中的第一数据点分配为第一簇的引导符,并且如果其与每个的引导者的关系,则将所述引导值序列列表中的每个后续数据点视为新簇的引导者 先前的簇小于定义的阈值,或作为其与簇首的关系大于或等于所述阈值的一个或多个簇的成员。 数据点之间的关系是对称的或不对称的。 类似地,系统和计算机程序产品也被要求。