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    • 32. 发明授权
    • System and method using hierachical clustering for evolutionary clustering of sequential data sets
    • 使用层次聚类的序列数据集的进化聚类的系统和方法
    • US07734629B2
    • 2010-06-08
    • US11414442
    • 2006-04-29
    • Deepayan ChakrabartiShanmugasundaram RavikumarAndrew Tomkins
    • Deepayan ChakrabartiShanmugasundaram RavikumarAndrew Tomkins
    • G06F7/00
    • G06F17/30705G06K9/6218
    • An improved system and method for evolutionary clustering of sequential data sets is provided. A snapshot cost may be determined for representing the data set for a particular clustering method used and may determine the cost of clustering the data set independently of a series of clusterings of the data sets in the sequence. A history cost may also be determined for measuring the distance between corresponding clusters of the data set and the previous data set in the sequence of data sets to determine a cost of clustering the data set as part of a series of clusterings of the data sets in the sequence. An overall cost may be determined for clustering the data set by minimizing the combination of the snapshot cost and the history cost. Any clustering method may be used, including flat clustering and hierarchical clustering.
    • 提供了一种用于顺序数据集进化聚类的改进的系统和方法。 可以确定用于表示所使用的特定聚类方法的数据集的快照成本,并且可以独立于序列中的数据集的一系列聚类来确定数据集的聚类成本。 还可以确定历史成本用于测量数据集的相应簇之间的距离和数据集序列中的先前数据集之间的距离,以确定数据集的聚类成本,作为数据集的一系列聚类的一部分 序列。 可以通过最小化快照成本和历史成本的组合来确定用于对数据集进行聚类的总体成本。 可以使用任何聚类方法,包括平面聚类和层次聚类。
    • 38. 发明申请
    • Method and system for generating threads of documents
    • 用于生成文档线程的方法和系统
    • US20070203924A1
    • 2007-08-30
    • US11364038
    • 2006-02-28
    • Ramanathan GuhaShanmugasundaram RavikumarDandapani Sivakumar
    • Ramanathan GuhaShanmugasundaram RavikumarDandapani Sivakumar
    • G06F7/00
    • G06F17/30958G06F17/30716Y10S707/99937Y10S707/99943
    • A method and system for generating threads of documents from a collection C of documents containing terms. Each document of C has a timestamp and an associated timestamp index. The timestamp indexes are ordered in accordance with an ordering of the associated timestamps. A relevance graph G generated from C is an acyclic directed graph. Each node of G denotes a document of C. Each edge of G connects a pair of directed nodes pointing from a node having an earlier timestamp to a node having a later timestamp. At least one thread of G is determined by executing a matching-based algorithm or a dynamic programming algorithm. Each thread is a path through G originating at a first node and terminating at a second node and including one or more contiguous edges from the first node to the second node. The at least one thread is outputted.
    • 一种用于从包含术语的文档的集合C生成文档的线程的方法和系统。 C的每个文档都具有时间戳和关联的时间戳索引。 时间戳索引根据相关联的时间戳的顺序进行排序。 从C生成的相关性图G是非循环有向图。 G的每个节点表示C的文档.G的每个边缘将指向具有较早时间戳的节点的一对定向节点连接到具有稍后时间戳的节点。 通过执行基于匹配的算法或动态规划算法来确定G的至少一个线程。 每个线程是通过起始于第一节点并且终止于第二节点并且包括从第一节点到第二节点的一个或多个相邻边缘的G的路径。 输出至少一个线程。