发明授权
- 专利标题: Indexing system and method for nearest neighbor searches in high dimensional data spaces
- 专利标题(中): 高维数据空间中最近邻搜索的索引系统和方法
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申请号: US09512949申请日: 2000-02-25
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公开(公告)号: US07318053B1公开(公告)日: 2008-01-08
- 发明人: Guang-Ho Cha , Chin-Wan Chung , Dragutin Petkovic , Xiaoming Zhu
- 申请人: Guang-Ho Cha , Chin-Wan Chung , Dragutin Petkovic , Xiaoming Zhu
- 申请人地址: US 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: US NY Armonk
- 代理商 John L. Rogitz
- 主分类号: G06F7/00
- IPC分类号: G06F7/00
摘要:
Vectors representing objects in n-dimensional space are approximated by local polar coordinates on partitioned cells of the data space in response to a query, e.g., a query data vector entered with a request to find “k” nearest neighbors to the query vector. A set of candidate near neighbors is generated using the approximations, with the local polar coordinates being independent of the dimensionality of the data space. Then, an answer set of near neighbors is returned in response to the query. Thus, the present invention acts as a filter to reduce the number of actual data vectors in the data set that must be considered in responding to the query.
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