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METHOD AND APPARATUS FOR INCREMENTAL TREE-BASED CLUSTERING WITH DEPENDENT NORMALIZED RANDOM MEASURES

机译:依赖标准化随机度量的增量树聚类方法和装置

摘要

Disclosed are a method and an apparatus for incremental clustering. The method for incremental clustering comprises the steps of: comparing the distance of a group formed by the trees of the other elements from any one of interested elements among the elements of data; forming a new group with an interested element by inserting the interested element right next to a specific group as a sibling node of a specific group if the minimum value of the distance is greater than or equal to a predetermined value; and inserting an interested element as a sibling node of the element who is a descendant of a specific element of a first group by moving an interested element under the first group having the distance of a minimum value if the minimum value is smaller than a predetermined value. Accordingly, many associated data can b e efficiently clustered without prior information about the number of groups, and real time updated data or large-scale data can also be efficiently clustered.
机译:公开了一种用于增量聚类的方法和设备。用于增量聚类的方法包括以下步骤:比较由其他元素的树形成的组与数据元素之间的任何感兴趣元素的距离;如果距离的最小值大于或等于预定值,则通过将感兴趣的元素插入到作为特定组的同级节点的特定组的旁边,来形成具有感兴趣的元素的新组;如果最小值小于预定值,则通过将感兴趣的元素移动到具有最小距离的第一组下,将感兴趣的元素作为该第一组的特定元素的后代的元素的同级节点插入。因此,可以在没有关于组数的先验信息的情况下有效地聚类许多相关数据,并且还可以有效地聚类实时更新的数据或大规模数据。

著录项

  • 公开/公告号KR20160066212A

    专利类型

  • 公开/公告日2016-06-10

    原文格式PDF

  • 申请/专利权人 POSTECH ACADEMY-INDUSTRY FOUNDATION;

    申请/专利号KR20140170260

  • 发明设计人 CHOI SEUNG JIN;LEE JU HO;

    申请日2014-12-02

  • 分类号G06F17;

  • 国家 KR

  • 入库时间 2022-08-21 14:14:16

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