正态分布数据认为，样本中约68%的数值分布在距离平均值为1的标准偏差之内。
Normally distributed data assumes that about 68% of the values in the sample are within 1 standard deviation of the mean.
均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。
The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.
分析和实际模拟表明，在以正态分布进行抽样的前提下，合理选取抽样样本平均值和标准差，可使抽样效率进一步提高。
Theorical analysis and practical simulation indicate that if the samples are of normal distribution, the modelling efficiency can be increased further by using sensible parameters.
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