针对空间数据集的特性，提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
将各种不同气道截面等效于圆形，引入形状因子来衡量它们偏离圆形的程度。
The cross sections of various gas channels were equivalent to circles and the shape factor sf was taken to measure their departure from a circle.
简单的复制粘贴原始数据到指定位置，程序将自动剔除发生偏离的点做出标准曲线，依据标准曲线程序将算出细胞因子的浓度。
Simply copy and paste the raw data into the assigned area. The program will automatically remove the outlier spots and output standard curves and sample cytokine concentrations.
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