• This data can only be classified within a business context and can't be classified using a simple hierarchical model, as shown in step 3.

    数据业务上下文中进行分类不能使用简单层次结构模型第 3中的模型)进行分类。

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  • By introducing the subtraction clustering algorithm, the sample data are classified and the local model parameters are identified off-line using the corresponding data set.

    引入减法聚类算法样本数据进行分类得到的分类数据对局部模型参数进行离线辨识

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  • The collected data were classified, optimized, longitudinally organized and processed in cross_sectional order by using information investigation and experts assessment.

    采用情报调研专家调查法,完成事实性的分类优化纵向及横向知识的组织化;

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  • Using the concept of classification of clustering, the behavior data were classified by probability and frequency, and the model was built for intelligence information analysis.

    利用概念分类聚类思想,使用概率频率度量行为数据分类,获得指导情报分析模型

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  • The PCM group is established by using the classified data sets to describe the entire process.

    然后根据分类数据建立主元模型描述整个过程;

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  • Currently at least 80% of the main protein sequence databases can be classified using these tools, thus providing a large data set to work from for analyzing protein domain architectures.

    当前至少80%主要蛋白质序列数据库能够使用这些工具进行分类因此提供了大量数据开始分析蛋白质结构

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  • Types of reservoir rocks in Sha 3 formation of fault block Cheng 913 in Chengdong oilfield are classified on basis of well point analysis by using data of nuclear magnetic resonance;

    以井点分析为基础利用磁共振测井等资料,对油田埕913岩石进行分类

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  • The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network.

    利用BP分类可以采集到清晰数据广义分成模糊类

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  • Objects are classified by using fussy clustering method. Distance function is selected and adjusted in conformity to the character of practical data. Elliptical objects are classified concisely.

    然后模糊方法实现目标分类,并根据实际数据特点灵活地选择调整了模糊聚类的距离函数,比较简洁地实现了目标的分类。

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  • Objects are classified by using fussy clustering method. Distance function is selected and adjusted in conformity to the character of practical data. Elliptical objects are classified concisely.

    然后模糊方法实现目标分类,并根据实际数据特点灵活地选择调整了模糊聚类的距离函数,比较简洁地实现了目标的分类。

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