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Statistical distance matrix calculation method, statistical distance matrix visualization method, device and program

机译:统计距离矩阵计算方法,统计距离矩阵可视化方法,装置和程序

摘要

PROBLEM TO BE SOLVED: To provide a calculation method, a method for visualizing a statistical distance matrix, an apparatus and a program for realizing the refinement of a distance by converting a statistical distance into a statistical distance matrix. SOLUTION: The method is a first and second average vector μμ 1 and μμ from the first and second vector data aa and bb to be compared, or the first and second matrices or sets AA and BB. 2. Compute the first and second covariance matrices ΣΣ1 and ΣΣ2 to obtain the statistical distance matrix DD, which is a detrace of the statistical distance D defined by them, and relate to the statistical distance matrix DD. The local distance is accumulated to obtain the distance accumulation vector φφ, which is matrixed into the distance accumulation matrix ΦΦ, and the image by the distance accumulation matrix ΦΦ or the distance accumulation matrix ΦΦ is stored in the storage unit or displayed on the display unit or by the output unit. It is output, a clustering process is executed for the statistical distance matrix DD, and a cluster label or an element label is further attached to the distance accumulation matrix ΦΦ. [Selection diagram] FIG. 4
机译:要解决的问题:提供一种计算方法、一种可视化统计距离矩阵的方法、一种通过将统计距离转换为统计距离矩阵来实现距离细化的装置和程序。解决方案:该方法是从要比较的第一和第二矢量数据aa和bb,或第一和第二矩阵或集合aa和bb中得到第一和第二平均矢量μ1和μμ。2.计算第一和第二协方差矩阵∑∑1和∑∑2,以获得统计距离矩阵DD,这是它们定义的统计距离D的一个分支,并与统计距离矩阵DD相关。累积局部距离以获得距离累积向量φφ,该向量被矩阵化为距离累积矩阵Φ,将距离累积矩阵Φ或距离累积矩阵Φ的图像存储在存储单元中,或显示在显示单元上或由输出单元显示。将其输出,对统计距离矩阵DD执行聚类处理,并且将聚类标签或元素标签进一步附加到距离累积矩阵。[选择图]图4

著录项

  • 公开/公告号JP2022052171A

    专利类型

  • 公开/公告日2022-04-04

    原文格式PDF

  • 申请/专利权人 国立大学法人岩手大学;

    申请/专利号JP20200158384

  • 发明设计人 盧 忻;

    申请日2020-09-23

  • 分类号G06T7;

  • 国家 JP

  • 入库时间 2022-08-25 00:28:08

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