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D2 distance metric

  1. Jun 30, 2008 #1
    i'd like to know more about the d2 distance metric. i'm assuming it's a topic in computing, however, i don't know of a database that contains a listing of such papers. could anyone point me in the right direction?
     
  2. jcsd
  3. Jun 30, 2008 #2

    CRGreathouse

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    Do you mean the Euclidean [itex]L_2[/itex] metric
    [tex]d((x_1,y_1), (x_2,y_2))=\sqrt{(x_2-x_1)^2+(y_2-y_1)^2}[/tex]
     
  4. Jul 14, 2008 #3
    The Euclidean distance metric in computing is used to determine how similar things are in a multi-dimensional space. Alternatively one could use the the Pearson correlation coefficient, the Jaccard coefficient or the Manhattan distance.
     
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