METHODS FOR FILTERING DATA AND FILLING IN MISSING DATA USING NONLINEAR INFERENCE

  • US 20100274753A1
  • Filed: 05/20/2010
  • Published: 10/28/2010
  • Est. Priority Date: 06/23/2004
  • Status: Abandoned Application
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First Claim
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1. A method for estimating missing values in a data matrix d(q, r) having a plurality of rows and columns, comprising the steps of:

  • organizing said columns of said data matrix d(q, r) into affinity folders of columns with similar data profile;

    organizing said rows of said data matrix d(q, r) into affinity folders of rows with similar data profile;

    forming a graph Q of augmented rows and a graph R of augmented columns by similarity or correlation of common entries ; and

    expanding said data matrix d(q, r) in terms of an orthogonal basis of a graph Q×

    R to estimate said missing values in said data matrix d(q, r).

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