发明名称 |
Method for data classification by kernel density shape interpolation of clusters |
摘要 |
A method for obtaining a shape interpolated representation of shapes of one or more clusters in an image of a dataset that has been clustered 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 in the image 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 of each grid point; and adding each grid point for which the maximum density estimate value exceeds a specified threshold to the cluster associated with the maximum density estimate value for the grid point to form a shape interpolated representation of the one or more clusters.
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申请公布号 |
US7412429(B1) |
申请公布日期 |
2008.08.12 |
申请号 |
US20070940739 |
申请日期 |
2007.11.15 |
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 |
G06F17/00;G06N5/00 |
主分类号 |
G06F17/00 |
代理机构 |
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代理人 |
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地址 |
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