• Conclusions - During adolescence, metabolic risk factor clustering is consistent.

    结论——在青少年时期,代谢危险因子的聚类是一致的。

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  • Objective: to investigate the cardiovascular risk factor and their clustering in elderly persons of impaired glucose tolerance.

    目的:分析老年糖耐量低减患者心血管病危险因素的聚集情况。

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  • Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.

    本文借助于非负矩阵分解算法,提出了一种基于非负因子分析的模糊文本聚类方法。

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  • The novel feature distinguishes relative distribution between in-phase and quadrature components and lightens the great influence caused by noise and other random factor in clustering algorithm.

    将截获信号的直观几何特征(星座图)映射到变换域中,可区别不同调制内部的同相正交分量的相对关系,避免了聚类算法受噪声干扰和其他随机因素影响。

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  • And then factor scores to cluster analysis and multiple comparison of means to observe the different groups of people clustering of the different conditions and a stable condition.

    然后对因子得分进行聚类分析和多重均值比较,观察不同人群聚类状况及稳定状况之不同。

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  • Selecting train sample on the basis of fuzzy C-mean clustering decreased subjective factor affecting selecting train sample, so higher classification accuracy can be achieved.

    同时,在模糊C-均值聚类基础上选择训练样本比起直接基于真实地物图选择,减少了主观因素对训练样本选择的影响,因此取得了更高的分类精度。

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  • According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.

    根据模糊聚类与模糊识别理论,基于模糊环境下的目标函数,提出了一种确定预报因子权重的理论模式。

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  • Results The prevalence of hypertension in hypertensive families was 55.86%, and a risk factor clustering phenomena existed;

    结果家系成员高血压患病率为55。86%,存在危险因素聚集现象。高血压的知晓率、治疗率、控制率分别为79。

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  • Relations among the element concentrations for chondrules from the Boxian chondrite are discussed using the clustering and factor analysis.

    通过模糊聚类分析和因子分析讨论了元素间的相关关系。

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  • Graph plotting part consists of histogram, cross section drawing, clustering spectral pattern, 2-dimensinoal factor scattergram.

    图形绘制包括:直方图、因子平面散点图、聚类谱系图、剖面图。

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  • Several main considered parameters are average link clustering, number of multiple paths, path complexity factor, and hop difference factor.

    几个考虑的主要参数有平均链路簇,多径数目,路径复杂度和跳数差别因子。

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  • Considering that their results are not all good, the concept of a confidence factor is proposed. According to the value of factor, we combine the clustering members that are better.

    考虑到它们的结果不一定全部都是好的,因此提出了一个信任度系数的概念,根据系数值从中选择较优的那些聚类成员进行融合。

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  • The laws of syndrome factor combination and syndrome factor distribution at different disease stages were discussed by applying the methods of clustering and frequency analysis.

    采用聚类、频数分析法探讨证素组合规律及疾病不同分期证素分布特征。

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  • The laws of syndrome factor combination and syndrome factor distribution at different disease stages were discussed by applying the methods of clustering and frequency analysis.

    采用聚类、频数分析法探讨证素组合规律及疾病不同分期证素分布特征。

    youdao

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