发明名称 |
Automatic subspace clustering of high dimensional data for data mining applications |
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.
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申请公布号 |
US6003029(A) |
申请公布日期 |
1999.12.14 |
申请号 |
US19970916347 |
申请日期 |
1997.08.22 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
AGRAWAL, RAKESH;GEHRKE, JOHANNES ERNST;GUNOPULOS, DIMITRIOS;RAGHAVAN, PRABHAKAR |
分类号 |
G06F17/30;G06K9/62;(IPC1-7):G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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