发明名称 |
DATA CLASSIFICATION BY KERNEL DENSITY SHAPE INTERPOLATION OF CLUSTERS |
摘要 |
A data processing system is provided that comprises a processor, a random access memory for storing data and programs for execution by the processor, and computer readable instructions stored in the random access memory for execution by the processor to perform a method for obtaining a shape interpolated representation of shapes of clusters in an image of a clustered dataset. The method comprises generating a density estimate value of each grid point of a set of grid points sampled from the image at a specified resolution for each cluster using a kernel density function; evaluating the density estimate value of each grid point for each cluster to identify a maximum density estimate value of each grid point and a cluster associated with the maximum density estimate value; and adding each grid point for which the maximum density estimate value exceeds a specified threshold to the associated cluster to form a shape interpolated representation.
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申请公布号 |
US2009132594(A1) |
申请公布日期 |
2009.05.21 |
申请号 |
US20080142949 |
申请日期 |
2008.06.20 |
申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
SYEDA-MAHMOOD TANVEER;HAAS PETER J.;LAKE JOHN M.;LOHMAN GUY M. |
分类号 |
G06F17/30 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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地址 |
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