一种基于MR数据空间分布的网络格局判别方法

摘要

In order to dig up and present existing problems from large amount of MR data, and put forward effective solutions, the paper analyzed the problem of ifxing position of MR data, and transformed it into the problem of ifnding the maximum probability of perceived weak area, then using the method of data mining and grid-clustering, proposed a new method for locating MR data accurately and discriminating network pattern exactly. Taking MR data analysis in a certain area as an example, the paper processed MR data, constructed indicators, discriminated network pattern and put forward solutions, which veriifed the model’s effectiveness, providing a new way of MR data analysis.%为了从海量MR数据中挖掘和呈现网络存在的问题，并提出行之有效的解决方案，通过分析MR数据定位难题，将MR定位问题转化为寻找最大概率感知弱区问题，应用数据挖掘及网格聚类手段，提出了一种MR数据精准评估及网络格局判别方法。并以某地MR数据为例，进行数据处理、指标构造、格局判别以及方案提出，验证了该模型的有效性，为MR数据分析提供了一种新思路。