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。
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。
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。
According to the proportion of load composition, using the hierarchical cluster analysis based on average distance, the substations can be classified reasonably.
根据全网各站点各季节的典型行业用电负荷构成比例，运用谱系数平均距离聚类分析法，对全网各季节的负荷站点做出合理的分类。
According to the proportion of load composition, using the hierarchical cluster analysis based on average distance, the substations can be classified reasonably.
根据全网各站点各季节的典型行业用电负荷构成比例，运用谱系数平均距离聚类分析法，对全网各季节的负荷站点做出合理的分类。
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