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Methods for filtering data and filling in missing data using nonlinear inference

  • US 20070214133A1
  • Filed: 03/07/2007
  • Published: 09/13/2007
  • Est. Priority Date: 06/23/2004
  • Status: Abandoned Application
First Claim
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1. A method for inferring/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 infer/estimate said missing values in said data matrix d(q, r).

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