会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 6. 发明申请
    • SEMIOTIC INDEXING OF DIGITAL RESOURCES
    • 数字资源的半导体指数
    • US20130013603A1
    • 2013-01-10
    • US13478973
    • 2012-05-23
    • Charles T. ParkerGeorge M. Garrity
    • Charles T. ParkerGeorge M. Garrity
    • G06F17/30
    • G06F17/30707G06F17/3071
    • A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.
    • 一种分类多个文件的方法。 该方法包括提供第一组分类项和第二组分类项的步骤,第二组分类项与第一组分类项不同; 从每个文档中的第一组分类项中产生出每个项的多次出现的第一频率阵列; 从每个文档中的第二组分类项生成每个项的多次出现的第二频率阵列; 从所述第一频率阵列生成第一相似矩阵; 从所述第二频率阵列生成第二相似矩阵; 确定所述第一相似度矩阵和所述第二相似矩阵的入口组合; 并且基于条目组合的结果对多个文档进行聚类。
    • 10. 发明授权
    • Semiotic indexing of digital resources
    • 数字资源的符号学索引
    • US08903825B2
    • 2014-12-02
    • US13478973
    • 2012-05-23
    • Charles T. ParkerGeorge M. Garrity
    • Charles T. ParkerGeorge M. Garrity
    • G06F17/30
    • G06F17/30707G06F17/3071
    • A method of classifying a plurality of documents. The method includes steps of providing a first set of classification terms and a second set of classification terms, the second set of classification terms being different from the first set of classification terms; generating a first frequency array of a number of occurrences of each term from the first set of classification terms in each document; generating a second frequency array of a number of occurrences of each term from the second set of classification terms in each document; generating a first similarity matrix from the first frequency array; generating a second similarity matrix from the second frequency array; determining an entrywise combination of the first similarity matrix and the second similarity matrix; and clustering the plurality of documents based on the result of the entrywise combination.
    • 一种分类多个文件的方法。 该方法包括提供第一组分类项和第二组分类项的步骤,第二组分类项与第一组分类项不同; 从每个文档中的第一组分类项中产生出每个项的多次出现的第一频率阵列; 从每个文档中的第二组分类项生成每个项的多次出现的第二频率阵列; 从所述第一频率阵列生成第一相似矩阵; 从所述第二频率阵列生成第二相似矩阵; 确定所述第一相似度矩阵和所述第二相似矩阵的入口组合; 并且基于条目组合的结果对多个文档进行聚类。