APPARATUS AND METHOD FOR EFFECTIVE GRAPH CLUSTERING OF PROBABILISTIC GRAPHS
    1.
    发明申请
    APPARATUS AND METHOD FOR EFFECTIVE GRAPH CLUSTERING OF PROBABILISTIC GRAPHS 有权
    用于有效图形聚类的概念图的装置和方法

    公开(公告)号:US20140009471A1

    公开(公告)日:2014-01-09

    申请号:US13932326

    申请日:2013-07-01

    CPC classification number: G06T11/206

    Abstract: A clustering apparatus of probabilistic graphs, includes a center selection unit configured to select one or more centers among the probabilistic graphs. The clustering apparatus further includes a center determination unit configured to calculate a minimum bound and a maximum bound of a distance with respect to each of the centers, for each of the probabilistic graphs, and determine a center, among the centers, to which the probabilistic graphs are to be allocated based on the minimum and maximum bounds. The clustering apparatus further includes a clustering unit configured to allocate the probabilistic graphs to the center to generate one or more clusters.

    Abstract translation: 概率图的聚类装置包括:中心选择单元,被配置为选择概率图中的一个或多个中心。 聚类装置还包括:中心确定单元,被配置为针对每个概率图计算相对于每个中心的距离的最小界限和最大界限,并确定中心之间的中心,概率统计 图表将根据最小和最大限制进行分配。 聚类装置还包括:聚类单元,被配置为将概率图分配给中心以生成一个或多个聚类。

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