In this paper, based on average Eucli dean distance coefficient, using UPGMA, Q cluster analysis for karyotype of 12taxa in genes glycyrrhiza L. have been conducted.

在平均欧氏距离系数基础上，运用UPGMA法，对甘草属12个类群的核型资料进行了Q型聚类分析。

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Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.

其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。

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Then the statistical average distance between neighboring parallel sections was acquired using the analysis of sample trace points.

进而通过轨迹样本点分析的方式，得到统计平均的相邻平行截面间距。

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