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。
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。
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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