Data classification by kernel density shape interpolation of...

Data processing: artificial intelligence – Knowledge processing system

Reexamination Certificate

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C706S062000

Reexamination Certificate

active

07542953

ABSTRACT:
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.

REFERENCES:
patent: 5671294 (1997-09-01), Rogers et al.
patent: 2003/0147558 (2003-08-01), Loui et al.
patent: 2006/0217925 (2006-09-01), Taron et al.
patent: 2007/0003137 (2007-01-01), Cremers et al.

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