Detection and Removal of Outliers in Data Sets

Detection and Removal of Outliers in Data Sets！主要作用是发现异常值并剔除异常值

Maximum Likelihood Outlier Detection

• Maximum Likelihood Outlier Detection (MLOD) is an inlier-based outlier detection algorithm. The problem of inlier-based outlier detection is to find outliers in a set of samples (called the evaluation set) using another set of samples which consists only of inliers (called the model set). MLOD orders the samples in the evaluation set according to their degree of outlyingness. The degree of outlyingness is measured by the ratio of probability densities of evaluation and model samples. The ratio is estimated by the density-ratio estimation method KLIEP.

测量中控制网精度估算程序

测量中测量控制网的精度估算，看能否达到设计预想，vb程序，可执行，含数据库

常用图论算法

MATLAB图论中常用的集中算法，最小生成树、最短路径等。

GPS应用程序设计

GPS应用程序设计源码，C-C++，识货的就可以免费下载了，记得给评论

测量检查程序

用于日常测绘工作的检查，比如点线矛盾等，能给出检查的统计结果，比如：平面中误差，高程中误差等

等值线VB程序

vb等值线程序，能运行，可进行修改。适合做开发的 朋友用