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Automatic subspace clustering of high dimensional data for data mining applications

  • US 6,003,029 A
  • Filed: 08/22/1997
  • Issued: 12/14/1999
  • Est. Priority Date: 08/22/1997
  • Status: Expired due to Fees
First Claim
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1. A method for finding clusters of units in high-dimensional data in a database, the method comprising the steps of:

  • determining dense units in selected subspaces within a data space of high-dimensional data in a database;

    determining each cluster of dense units that are connected to other dense units in the selected subspaces within the data space;

    determining maximal regions covering each cluster of connected dense units; and

    determining a minimal cover for each cluster of connected dense units.

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