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Scalable parallel algorithm for self-organizing maps with applications to sparse data mining problems

  • US 6,260,036 B1
  • Filed: 05/07/1998
  • Issued: 07/10/2001
  • Est. Priority Date: 05/07/1998
  • Status: Expired due to Fees
First Claim
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1. A method of organizing data in a parallel database which is partitioned across computational processors of a parallel computer, said data being organized into a plurality of records, said method comprising:

  • a. representing each record as an n dimensional vector;

    b. compressing each n dimensional vector by eliminating zeros in components of each said n dimensional vector for each of said records; and

    c. applying a modified self-organized map algorithm to operate on the non-zero components of each vector for said compressed input records to group said records into a plurality of clusters, wherein each cluster comprises a plurality of said records having a set of common input parameters.

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