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USER CLASSIFICATION METHOD AND APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM

机译:用户分类方法和装置,计算机设备和存储介质

摘要

An intelligent decision-based user classification method and apparatus, a computer device and a storage medium. Said method comprises: acquiring a cluster distribution feature map of an SOM network trained according to a sample data set, the sample data set comprising sample user data; determining the number of clusters of the trained SOM network on the basis of the cluster distribution feature map; adjusting the number of initial nodes of an original SOM network according to the number of clusters, so as to determine the number of available SOM network nodes, and obtain an available SOM network; performing, according to the available SOM network, clustering analysis on a data set to be processed, and determining a clustering result of said data set, said data set being generated according to user data to be processed; and obtaining a corresponding user classification result according to the clustering result. The method implements the self-organizing mapping function using the SOM network, and digs out the cluster distribution contained in high-dimensional data, thereby improving the efficiency and accuracy of the whole clustering process, and achieving the accurate classification of users.
机译:基于智能判定的用户分类方法和装置,计算机设备和存储介质。所述方法包括:获取根据示例数据集培训的索马尔网络的集群分布特征映射,包括示例用户数据的示例数据集;基于群集分布来确定训练索赔网络的簇数;根据群集的数量调整原始索盘网络的初始节点的数量,以确定可用索收网络节点的数量,并获得可用的索点网络;根据可用的SOM网络执行,对要处理的数据集的聚类分析,以及确定所述数据集的聚类结果,所述数据集根据要处理的用户数据生成;并根据群集结果获取相应的用户分类结果。该方法使用SOM网络实现自组织映射函数,并挖掘高维数据中包含的集群分布,从而提高了整个聚类过程的效率和准确性,并实现了用户准确分类。

著录项

  • 公开/公告号WO2021203854A1

    专利类型

  • 公开/公告日2021-10-14

    原文格式PDF

  • 申请/专利号WO2021CN77380

  • 发明设计人 KONG QINGYANG;

    申请日2021-02-23

  • 分类号G06K9/62;

  • 国家 CN

  • 入库时间 2022-08-24 21:43:39

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