发明授权
US6003029A Automatic subspace clustering of high dimensional data for data mining
applications
失效
用于数据挖掘应用的高维数据的自动子空间聚类
- 专利标题： Automatic subspace clustering of high dimensional data for data mining applications
- 专利标题（中）： 用于数据挖掘应用的高维数据的自动子空间聚类
-
申请号： US916347申请日： 1997-08-22
-
公开(公告)号： US6003029A公开(公告)日： 1999-12-14
- 发明人: Rakesh Agrawal , Johannes Ernst Gehrke , Dimitrios Gunopulos , Prabhakar Raghavan
- 申请人： Rakesh Agrawal , Johannes Ernst Gehrke , Dimitrios Gunopulos , Prabhakar Raghavan
- 申请人地址： NY Armonk
- 专利权人： International Business Machines Corporation
- 当前专利权人： International Business Machines Corporation
- 当前专利权人地址： NY Armonk
- 主分类号： G06F17/30
- IPC分类号： G06F17/30 ; G06K9/62
摘要：
A method for finding clusters of units in high-dimensional data having the steps of determining dense units in selected subspaces within a data space of the high-dimensional data, determining each cluster of dense units that are connected to other dense units in the selected subspaces within the data space, determining maximal regions covering each cluster of connected dense units, determining a minimal cover for each cluster of connected dense units, and identifying the minimal cover for each cluster of connected dense units.
公开/授权文献
- US5239310A Passive self-determined position fixing system 公开/授权日：1993-08-24
信息查询
