Method for data classification by kernel density shape...

Details Method for data classification by kernel density shape... Method for data classification by kernel density shape...

2007-11-15

2008-08-12

Vincent, David (Department: 2129)

Data processing: artificial intelligence

Knowledge processing system

Reexamination Certificate

active

07412429

ABSTRACT:
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.

REFERENCES:
patent: 5671294 (1997-09-01), Rogers et al.
patent: 7202791 (2007-04-01), Trajkovic
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.

Affiliated with

Also associated with

Rating

Method for data classification by kernel density shape... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for data classification by kernel density shape..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for data classification by kernel density shape... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3998397