Abstract：It is significant for the GPS positioning system to control the vehicle and analyzes the congestion. But there are bad
values in GPS sampling data, easy to produce large error on the analysis results, thus affecting the traffic management decision. This
paper completes the original data segment, field extraction and bad values cleaning using Gauss mixture model, K- means clustering
analysis and SOM self-organizing neural network separately. Thees three methods are mainly used for data clustering analysis, cleaning
the isolated points according to the results. The results show that the recognition accuracy of Gauss clustering and K- clustering
algorithm is less than SOM self-organizing neural network, but the operating efficiency of the first two algorithms is better than the
latter.
刘鑫, 张驰, 刘汝涛. 几种不同的方法在GPS 大数据
探查中的应用分析[J]. 电脑与电信, 2016, 1(8): 74-76.
Liu Xin, Zhang Chi, Liu Rutao . Analysis of the Application of Several Different Methods in GPS Big Data Exploration. Computer & Telecommunication, 2016, 1(8): 74-76.
2016, Vol. 1 
