会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • A SUPPORT STAND
    • 支持台
    • WO2010046150A2
    • 2010-04-29
    • PCT/EP2009060749
    • 2009-08-19
    • ICON OFFICE DESIGN LTDKING GARY
    • KING GARY
    • E04B2/78
    • E04B2/78E04B2001/2472
    • A support stand for mounting a plurality of components thereto, comprising a plurality of upstanding elongate support members and a mounting element to fixedly mount the support members to each other in a spaced parallel relationship, wherein facing guide channels extend longitudinally along adjacent support members, the facing guide channels being configured to receive and mount a support plate extending between said facing guide channels, such that a component coupled to said support plate is mounted to the support stand.
    • 一种用于将多个部件安装到其上的支撑台,包括多个直立的细长支撑构件和用于以间隔开的平行关系固定地将支撑构件彼此固定地安装的安装元件,其中相对的导向通道沿着相邻的支撑构件纵向延伸, 面向导向通道被配置为接收和安装在所述相对的引导通道之间延伸的支撑板,使得联接到所述支撑板的部件安装到支撑架上。
    • 4. 发明申请
    • METHOD AND APPARATUS FOR SELECTING CLUSTERINGS TO CLASSIFY A PREDETERMINED DATA SET
    • 选择集群以分类预测数据集的方法和装置
    • WO2010120684A2
    • 2010-10-21
    • PCT/US2010030730
    • 2010-04-12
    • HARVARD COLLEGEKING GARYGRIMMER JUSTIN
    • KING GARYGRIMMER JUSTIN
    • G06F17/00
    • G06N99/005G06K9/6218G06K9/6253
    • A method for selecting clusterings to classify a predetermined data set of numerical data comprises five steps. First, a plurality of known clustering methods are applied, one at a time, to the data set to generate clusterings for each method. Second, a metric space of clusterings is generated using a metric that measures the similarity between two clusterings. Third, the metric space is projected to a lower dimensional representation useful for visualization. Fourth, a "local cluster ensemble" method generates a clustering for each point in the lower dimensional space. Fifth, an animated visualization method uses the output of the local cluster ensemble method to display the lower dimensional space and to allow a user to move around and explore the space of clustering.
    • 用于选择分类数字数据的预定数据集的聚类的方法包括五个步骤。 首先,将多个已知的聚类方法一次一个地应用于数据集以产生每个方法的聚类。 第二,使用度量两个集群之间的相似性的度量来生成集群的度量空间。 第三,将度量空间投影到对可视化有用的较低维度表示。 第四,“本地群集”方法为低维空间中的每个点生成聚类。 第五,动画可视化方法使用本地集群集合方法的输出来显示较低维度空间,并允许用户移动并探索聚类空间。