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Methods and Apparatus for Outlier Detection for High Dimensional Data Sets

  • US 20080234977A1
  • Filed: 06/06/2008
  • Published: 09/25/2008
  • Est. Priority Date: 10/11/2000
  • Status: Active Grant
First Claim
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1. A method of detecting one or more outliers in a data set, comprising the steps of:

  • determining one or more sets of dimensions and corresponding ranges in the data set which are sparse in density; and

    determining one or more data points in the data set which contain these sets of dimensions and corresponding ranges, the one or more data points being identified as the one or more outliers in the data set.

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