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METHOD AND DEVICE FOR EVALUATING METRIC SPACE PARTITIONING MODE, COMPUTER DEVICE AND STORAGE MEDIUM

机译:评估度量空间分区模式,计算机设备和存储介质的方法和设备

摘要

A method and device (200) for evaluating a metric space partitioning mode, a computer device and a storage medium, the method comprising: performing metric space partitioning on data in a database to obtain n normal vectors (S101); inputting n normal vectors for partitioning a hyperplane, and a range search radius, r (S102); using a point selection algorithm to select n pivots (S103); using the distance between the data and the pivots as coordinates, and mapping the data in the metric space into two-dimensional vector data (S104); performing complete partitioning on the data and calculating the data that fall into an r-neighborhood (S105); outputting the number of data that fall into the r-neighborhood and outputting an evaluation result of the partitioning mode according to the number (S106).The method does not require a range search for all the data in the database, and only requires calculation, when an index is created, of the number of data that fall into the vicinity of the partitioning boundary and cannot be excluded. The time cost of evaluation is greatly reduced, and the efficiency is improved.
机译:一种用于评估度量空间分区模式,计算机设备和存储介质的方法和设备(200),该方法包括:对数据库中的数据执行公制空间分区以获得N正常向量(S101);输入n正常向量,用于分区超平面,范围搜索半径r(S102);使用点选择算法选择n个枢轴(S103);使用数据与枢轴之间的距离作为坐标,并将度量空间中的数据映射到二维向量数据(S104);对数据进行完整分区并计算属于R型邻域的数据(S105);输出落入R邻域的数据数量并根据数字输出分区模式的评估结果(S106)。该方法不需要对数据库中的所有数据进行范围搜索,并且只需要计算,创建索引时,将落入分区边界附近的数据数量,并且无法排除。评估的时间成本大大降低,提高了效率。

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