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Method for partitioning a data set into frequency vectors for clustering

  • US 20030033138A1
  • Filed: 10/01/2002
  • Published: 02/13/2003
  • Est. Priority Date: 07/26/2001
  • Status: Abandoned Application
First Claim
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1. A method of partitioning a data set, comprising:

  • identifying a plurality of robust discriminators within the data set;

    counting occurrences of a predetermined relationship between each non-discriminator data element in the data set and each of the identified robust discriminators;

    creating a frequency vector for each non-discriminator element based on the counted occurrences;

    clustering the frequency vectors into clusters; and

    forming a knowledge-based model of the data set based on the clusters.

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