Focus in data quality assessment is non-sampling errors and variance, in addition to sampling errors.
在数据质量评估中,我们除对抽样误差进行检查外,重点是对非抽样误差和偏差的检查。
Correlation functions between sample values in attribute data are used to measure data sampling errors quantitatively.
对于属性区域内部的定量属性抽样值,则建立了抽样值的相关函数表达式。
Therefore, the improved FCM clustering results can reduce the sampling errors and retain the main attributes of cloud classification samples.
改进后的聚类结果既消除了采样误差,又保持了云类样本的基本特征属性。
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