• 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.

    此数据仅能在业务上下文中进行分类,而不能使用简单的层次结构模型(如第 3步中的模型)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.

    引入减法聚类算法对样本数据进行分类,用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.

    采用情报调研和专家调查法,完成事实性的分类、优化、纵向及横向知识的组织和序化;

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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.

    利用概念分类的聚类思想,使用概率和频率度量对行为数据分类,获得指导情报分析的模型。

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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组来描述整个过程;

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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%的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域结构。

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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,利用核磁共振测井等资料,对埕东油田埕913断决沙三段储层岩石进行分类;

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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网的分类性可以将采集到的清晰数据集广义地分成模糊类。

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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.

    然后用模糊聚类的方法实现目标的分类,并根据实际数据的特点灵活地选择和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.

    然后用模糊聚类的方法实现目标的分类,并根据实际数据的特点灵活地选择和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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