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DISTANCE-BASED ALGORITHM FOR SOLVING REPRESENTATIVE NODE SET IN TWO DIMENSIONAL SPACE

机译:二维空间中代表节点集的基于距离的算法

摘要

A new distance-based algorithm for solving the representative Skyline node set in two dimensional space is provided, inputting a data set, calculating a Skyline node set Q in the data set using BNL algorithm; after sorting the node set Q, solving the Manhattan distance value from an initial node to any other Skyline node and storing same; solving a number k of representative Skyline nodes in the Skyline node set; returning a number k of representative Skyline nodes. The time complexity of the algorithm is O (k2log3m), which is far less than the time complexity of the DRS algorithm in the prior art.
机译:提供了一种新的基于距离的算法,用于求解二维空间中的代表性Skyline节点集,输入数据集,使用BNL算法计算数据集中的Skyline节点集Q;在对节点集Q排序之后,求解从初始节点到任何其他Skyline节点的曼哈顿距离值并将其存储;在Skyline节点集中求解k个代表Skyline节点;返回数量为k的代表性Skyline节点。该算法的时间复杂度为O(k2log3m),远远小于现有技术中DRS算法的时间复杂度。

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