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Dynamic clustering for adaptive prediction filters

  • US 8,358,857 B2
  • Filed: 10/03/2008
  • Issued: 01/22/2013
  • Est. Priority Date: 10/03/2008
  • Status: Expired due to Fees
First Claim
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1. A computerized method comprising:

  • assigning, by a processor, an initial value to a center point for each cluster in a plurality of clusters;

    assigning each point in a point space to a closest cluster in the plurality of clusters based on the distance between each point and the center point of the closest cluster;

    determining a first-assignment value for the center point for each cluster in the plurality of clusters using the assigning;

    evaluating a first-assignment dynamic validity index of a current cluster configuration using the first-assignment values;

    reassigning each point in the point space to the closest cluster based on the first-assignment value of each center;

    determining a second-assignment value for the center for each cluster using the reassigning;

    evaluating a second-assignment dynamic validity index of the current cluster configuration using the second-assignment values;

    selecting the current cluster configuration if a difference between the first-assignment dynamic validity index and the second-assignment dynamic validity index is less than a threshold, wherein the current cluster configuration defines clusters of pixel classes.

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