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    Assisted clustering
    82.
    发明授权
    Assisted clustering 有权
    辅助聚类

    公开(公告)号：US08359279B2

    公开(公告)日：2013-01-22

    申请号：US12787945

    申请日：2010-05-26

    申请人： Danyel A. Fisher ,  Sumit Basu ,  Steven Drucker ,  Gonzalo A. Ramos ,  Hao Lu

    发明人： Danyel A. Fisher ,  Sumit Basu ,  Steven Drucker ,  Gonzalo A. Ramos ,  Hao Lu

    IPC分类号： G06N5/00

    CPC分类号： G06F17/30994 ,  G06Q30/0631

    摘要： Assisted clustering systems and methods are described herein that provide a user interface by which a user can easily create clusters and selectively associate data items with such clusters. Information regarding data item-cluster associations made by the user is processed by a recommendation engine to learn a clustering model. The clustering model is then be used to generate recommendations for the user regarding which unassociated data items should be associated with which clusters. In certain embodiments, after the user has determined that the clustering model is performing at a satisfactory level based on the quality of the recommendations, the user can cause the system to automatically cluster a large quantity of remaining unassociated data items. In accordance with further embodiments, a user can specify arbitrary data item types for clustering as well as features of such data types that should be considered in generating the clustering model.

    摘要翻译： 本文描述了辅助集群系统和方法，其提供用户界面，通过该界面，用户可以容易地创建集群并且选择性地将数据项与这些集群相关联。 关于由用户进行的数据项集群关联的信息由推荐引擎处理以学习聚类模型。 然后，聚类模型用于为用户生成与哪些不相关的数据项应与哪个集群相关联的建议。 在某些实施例中，在用户基于建议的质量确定聚类模型正在令人满意的级别之后，用户可以使系统自动聚集大量剩余的未关联的数据项。 根据进一步的实施例，用户可以指定用于聚类的任意数据项类型以及在生成聚类模型时应考虑的这些数据类型的特征。