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。
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。
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。
The factor analysis and clustering analysis result to be consistent.
并对数据进行聚类分析，分析结果与因子分析结果一致。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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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