• A sample cluster topology is shown in figure 2.

    图2中是一个示例集群拓扑。

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  • Methods The data of resident's contacting infectious water were collected with cohort study, and were analyzed by sample cluster analysis (Q type).

    方法采用队列随访调查的方法收集居民疫水暴露的情况,并用系统聚类法中样品聚类(Q型)进行聚类分析。

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  • The ordinal sample cluster method was used to study the distribution of blood pressure measurements by age for 2485 Mongolian children aged 4 to 14 in Zhemeng district.

    本文用有序样品聚类方法对哲盟地区2485名4~14岁蒙古族儿童血压的年龄分期进行了聚类分析,以划分最优年龄段。

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  • Secondly, a new projection index based on dynamic cluster rule is constructed in the PPDC model, which would finish the sample clustering based on the projected characteristic value.

    以投影寻踪理论为基础,利用动态聚类方法构建投影指标,建立了水资源评价的投影寻踪动态聚类模型。

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  • Secondly, a new projection index based on dynamic cluster rule is constructed in the PPDC model, which would finish the sample clustering based on the projected characteristic value.

    在一个简单投影指标下,用新的优化途径建立了多元数据分类模型,并将其用于多指标的标准水质分类。

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  • Following the steps described in this article, you'll start out simply to ultimately create a sample script that lets you create a single cluster member.

    按照本文描述的步骤,我们将从易到难,最终完成一个可以创建单个集群成员的示例脚本。

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  • Compute the distance from each data sample to the cluster center (our randomly selected data row), using the least-squares method of distance calculation.

    计算从每个数据样例到群集中心(我们随意选中的数据行)的距离,使用距离计算的最小平方法。

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  • Tomcat-cluster: Web-tier clustering, load balancer, and failover sample for the embedded Apache tomcat Web container.

    tomcat - cluster:嵌入式Apachetomcatweb容器的We b层集群、负载平衡和故障转移示例。

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  • Constellation diagram and contiguous vector diagram are audiovisual methods in multivariate statistics, they may be used for the cluster analysis of multivariate sample or index.

    星座图与连接向量图是多变量统计的直观方法,可用于多变量样本或多变量指标的聚类分析。

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  • The types of electrofacies of standard sample beds from key well are classified by a combination of principal component and cluster analysis.

    用主成分分析与聚类分析结合的方法划分关键井中标准样本层的测井相类型;

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  • Methods: Stratified random cluster sampling method was used to determine the survey sample.

    方法:以分层随机整群抽样的方法,确定调查样本。

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  • Oil-gas data of Daqing is used to build network model. The parameters of network structure are optimized, and the cluster analysis of input sample is made.

    采用大庆的油气层数据建立网络模型,对网络结构的参数进行了优化并对输入样本进行了聚类分析。

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  • At first, the original samples were pretreated by using the membership class function that can improve the quality of cluster sample.

    首先,利用“类属函数”对原始样本进行预处理,以提高聚类样本的质量;

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  • The cluster sample method is most often used because, in the initial stages of emergencies, people are rarely living in a structured pattern.

    分组抽样方法是最常用的,因为在紧急情况的初期,人们很少住在有组织的环境中。

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  • A cluster dendrogram of the sample was constructed using average linkage clustering.

    用平均连锁聚类法构建了样本的遗传相关聚类图。

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  • Methods Random sample were obtained from the whole population by multiple stratified cluster and 1 320 objects were surveyed in their own homes by questionnaires.

    方法采用多阶段整群抽样和配额抽样相结合的方法,对深圳市1 320名居民进行入户问卷调查。

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  • First, historical data are categorized into different sample types using cluster analysis.

    首先,利用聚类分析技术对历史数据进行分类,分成不同类型的样本数据;

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  • Methods With the method of questionnaire survey, a cluster sample of 3 012 students (aged 15-19) were investigated. They were chosen from Qinghai Province, Shanxi Province and Zhejiang Province.

    方法选择青海省、山西省、浙江省各1个县,采用整群抽样的方法,共选取3 012名15 ~19岁在校中学生进行问卷调查。

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  • By working out such sample data the time complexity of figuring out min cluster is effectively reduced.

    这些样本点的求得能有效减少求解最小聚类的时间复杂度。

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  • Based on uniform design and the cluster theory, a optimum selecting method of sample is proposed to solve the problem of sample selection.

    结合均匀设计和聚类思想提出的样本优选方法,在一定程度上解决了神经网络样本选择的问题。

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  • The fuzzy membership is defined by not only the relation between a sample and its cluster center, but also those among samples, which is described by the fuzzy connectedness among samples.

    在确定样本的隶属度时,不仅考虑了样本与类中心之间的关系,还考虑了类中各个样本之间的关系,并采用模糊连接度来度量类中各个样本之间的关系。

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  • Methods A cluster sample of 8 054 students(aged 12-18 years) were chosen from 28 middle schools in Guangzhou.

    方法采取整群抽样方法,对广州市28所中学12~18岁的中学生8 054名进行吸烟状况的问卷调查。

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  • Methods 35 community health services organizations in Guangzhou and Zhongshan city were investigated by cluster sample about actuality of human resource of CHS.

    方法运用整群抽样的方法,调查广州市与中山市35家社区卫生服务机构的人力资源情况。

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  • Methods:A stratified cluster sample of 212 junior middle school students was investigated with a self-made questionnaire.

    方法:采用分层整群抽样方法,对武汉市某中学212名初一、二学生进行自编的初中生性知识性态度问卷调查。

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  • The fuzzy cluster analysis was used as the preprocessing to select the sample set, which can increase the speed of study.

    作为模糊聚类分析的预处理选择的样本集,从而可以提高学习的速度。

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  • Method Self-designed questionnaire survey was conducted among 95 chief nurses of cluster convenience sample.

    方法采用整群方便样本,运用自设问卷对95名三甲医院主管护师进行调查。

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  • Methods A cluster stratified sample of 1681 students ham Jianghan University were investigated by SDS.

    方法采用分层整群抽样法抽取江汉大学1681名本科学生,采用抑郁自评量表(SDS)进行测评。

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  • During the course of cluster sample verification, systematic sampling and stratified sampling "s accuracy are prior to simple random sampling" s.

    群样本检验中,系统抽样群样本检验和分层随机抽样群样本检验的效果优于简单随机抽样群样本检验。

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  • This research adopts investigation methods of stratified sampling and cluster sampling, chooses 95 community health service organizations in 14 cities of Liaoning Province as a analysis sample.

    采取分层整群抽样的调查方法,选取辽宁省14个市95家社区卫生服务机构作为分析样本。

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  • This research adopts investigation methods of stratified sampling and cluster sampling, chooses 95 community health service organizations in 14 cities of Liaoning Province as a analysis sample.

    采取分层整群抽样的调查方法,选取辽宁省14个市95家社区卫生服务机构作为分析样本。

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