Centroid detection for clustering
    1.
    发明授权
    Centroid detection for clustering 有权
    聚类的质心检测

    公开(公告)号:US09280593B1

    公开(公告)日:2016-03-08

    申请号:US13949526

    申请日:2013-07-24

    CPC classification number: G06F17/30598

    Abstract: A method of categorizing data points is described which, when combined with a clustering algorithm, provides groupings of data points that have an improved confidence interval. The method can be used to find an optimal number of groupings for a dataset, which in turn allows a user to categorize a group of data points for processing. In some examples, a dataset containing a number of data points may be accessed. Additionally, in some aspects, groupings of data points within the dataset may be grouped based at least in part on similarities between the data. Further, a number of groupings of data points may be adjusted so that the distance between the data points within one or more groupings of data points may fit within a confidence level.

    Abstract translation: 描述了对数据点进行分类的方法,当与聚类算法组合时,提供具有改进的置信区间的数据点的分组。 该方法可用于找到数据集的最佳分组数,这又允许用户对一组数据点进行分类以进行处理。 在一些示例中,可以访问包含多个数据点的数据集。 另外,在一些方面,可以至少部分地基于数据之间的相似性来对数据集内的数据点进行分组。 此外,可以调整多个数据分组,使得一个或多个数据点分组之间的数据点之间的距离可以适合置信水平。

    Centroid detection for clustering

    公开(公告)号:US09727633B1

    公开(公告)日:2017-08-08

    申请号:US15048904

    申请日:2016-02-19

    CPC classification number: G06F17/30598

    Abstract: A method of categorizing data points is described which, when combined with a clustering algorithm, provides groupings of data points that have an improved confidence interval. The method can be used to find an optimal number of groupings for a dataset, which in turn allows a user to categorize a group of data points for processing. In some examples, a dataset containing a number of data points may be accessed. Additionally, in some aspects, groupings of data points within the dataset may be grouped based at least in part on similarities between the data. Further, a number of groupings of data points may be adjusted so that the distance between the data points within one or more groupings of data points may fit within a confidence level.

    Device charging system
    3.
    发明授权
    Device charging system 有权
    设备充电系统

    公开(公告)号:US09442548B1

    公开(公告)日:2016-09-13

    申请号:US14218938

    申请日:2014-03-18

    Abstract: A computing device monitors the energy level of a rechargeable battery, from which the device draws operating power. Historic usage data is used to estimate the time remaining in a present operating period, such as a workday, as well as to estimate the battery level required to provide power during that period of time. A user is then presented with information regarding the status of the battery, as well as charging time and required battery level estimates. Information regarding charging stations within publically or otherwise user-accessible venues near to the present location of the computing device is accessed and presented to the user. Reservations may be made for a charging port within a selected venue, an order may be placed for goods or services available at that venue, or other actions may be performed.

    Abstract translation: 计算设备监视可再充电电池的能量水平,设备从该电池抽取工作电力。 使用历史使用数据来估计当前操作期间的剩余时间,例如工作日,以及估计在该时间段内提供电力所需的电池电量。 然后向用户呈现关于电池状态的信息,以及充电时间和所需的电池电量水平估计。 关于在计算设备的当前位置附近的公共或其他用户可访问场所内的充电站的信息被访问并呈现给用户。 可以在所选地点内的收费口岸进行预约,可以为在该地点可用的货物或服务进行订单,或者可以执行其他动作。

    Clustering and recommending items based upon keyword analysis

    公开(公告)号:US10095771B1

    公开(公告)日:2018-10-09

    申请号:US14954475

    申请日:2015-11-30

    Abstract: A multi-level approach for generating suggestions and/or recommendations associated with one or more items is provided. A group of related items may be identified, for example, by generating a collaborative filtering graph or other graph that includes items and connections between the items. Description data associated with items included in the group may be evaluated in order to determine respective keywords associated with the items and/or a list of common keywords representative of the group of items or a subset of the group of items. Based at least in part upon the list of common keywords, at least one suggestion may be generated.

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