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    • 9. 发明授权
    • Clustering customers
    • 聚集客户
    • US08914372B2
    • 2014-12-16
    • US13432361
    • 2012-03-28
    • Heng CaoJin DongJacqueline Giang Huong MorrisMing XieWen Jun YinBin Zhang
    • Heng CaoJin DongJacqueline Giang Huong MorrisMing XieWen Jun YinBin Zhang
    • G06F17/30G06Q30/02
    • G06Q30/02
    • A computer implemented method for clustering customers includes receiving a source set of customer records, wherein each customer record represents one customer, and each customer record includes at least one data attribute, and each data attribute has an attribute value; pre-processing the source set of customer records to generate a pre-processed set of customer records; executing a clustering algorithm on the pre-processed set of customer records to group the pre-processed set of customer records into clusters of a pre-defined number. The pre-processing comprises: determining the type of a customer in the source set of customer records; using a type attribute value to indicate the type of the customer in its customer record; normalizing data attribute values and type attribute values; weighting to the data attribute values and the type attribute values respectively to obtain weighted attribute values of the data attribute and weighted attribute values of the tune attribute.
    • 用于聚类客户的计算机实现方法包括接收客户记录的源集合,其中每个客户记录表示一个客户,并且每个客户记录包括至少一个数据属性,并且每个数据属性具有属性值; 预处理客户记录的源集合以生成预处理的一组客户记录; 在预处理的客户记录集上执行聚类算法,以将预处理的客户记录集合分组成预定义数量的集群。 预处理包括:确定客户记录源组中客户的类型; 使用类型属性值来指示客户记录中客户的类型; 归一化数据属性值和类型属性值; 分别对数据属性值和类型属性值进行加权,以获得数据属性的加权属性值和调整属性的加权属性值。