• Some basic concepts of the complex network are introduced in this paper, such as the average path length, cluster coefficient, distribution, etc.

    本文首先介绍复杂网络中的几个基本概念,平均路径长度,群系数,度分布等。

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  • 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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  • The genetic similar coefficient was calculated and cluster analysis was conducted.

    进而通过计算遗传相似系数进行聚类分析。

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  • The new information coefficient improved the increment of diversity and could be applied to cluster analysis.

    这一新的信息系数较离散增量信息系数有所改进,并可应用于聚类分析。

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  • Method of comprehensive evaluation, spearman rank relational coefficient and cluster analysis were employed.

    研究方法综合评价法,秩相关系数法,聚类分析法。

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  • A generalized distance coefficient based on information theory was given. The new information coefficient improved the increment of diversity and could be applied to cluster analysis.

    给出了一种基于信息理论的广义距离系数。这一新的信息系数较离散增量信息系数有所改进,并可应用于聚类分析。

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  • Based on the standard deviation and variation coefficient, soil water change in the profile could be divided into four layers by cluster analysis.

    基于标准差和变异系数两个指标,采用聚类分析,可将土壤剖面水分垂直变化划分为四个层次:速变层、活跃层、次活跃层和相对稳定层。

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  • Establishing the reasonable and viable election coefficient is the key of this algorithm, it decides the time of change cluster node and the round.

    本算法的关键是设置合理可行的选举系数,它决定了簇头选举时间和轮数。

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  • Based on the results of cluster analysis and the correlation coefficient theory, some representive microtrips were extracted from each type of microtrips to construct a typical driving cycle.

    由聚类分析的结果,根据相关系数理论从每一类片段中提取代表性片段来构建典型行驶工况。

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  • The weight coefficient of the index was given out with the stratified cluster sampling and stratified analysis.

    并采用分层整群抽样调查和层次分析法相结合的方法,确定出了各指标的权重系数。

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  • This paper briefly describes the principle of fuzzy distance coefficient classification method and, with this method, makes cluster analysis for deep gas bed and dry bed of Dongpu depression.

    本文扼要地介绍了模糊距离系数分类法的原理,并用该方法对东濮凹陷深部气层和干层作了聚类分析,与试井结论相比效果可佳。

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  • Cluster Analysis is argued to process based on Weighted Distance Coefficient and System Similarity methods to enhance the validity of the clustering result.

    提出以加权距离和系统相似度量方法为基础进行聚类分析,提高聚类结果的有效性。

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  • This paper sums up some new points about the scanning circuit, like the compensating state and jumping in the cluster of non-linearity coefficient.

    本文综述了补偿状态和非线系数曲线中的跳变等有关扫描电路的新论要点。

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  • For UPGMA cluster analysis, 12 Oryza species were classified into three cluster groups with the similarity coefficient of 0.696 using the software NTSYS.

    利用NTSYS进行UPGMA聚类分析后,发现这12种材料在遗传相似系数0.696为阀值处可以分为3个类群。

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  • For UPGMA cluster analysis, 12 Oryza species were classified into three cluster groups with the similarity coefficient of 0.696 using the software NTSYS.

    利用NTSYS进行UPGMA聚类分析后,发现这12种材料在遗传相似系数0.696为阀值处可以分为3个类群。

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