patternnet algorithm for classification

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mustafa_alnasser - 2021-07-19T10:49:54+00:00
Question: patternnet algorithm for classification

I would like to know what is the algorithm of patternnet function or how it works to classification.  

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    • Expert Answer

    Profile picture of Kshitij Singh Kshitij Singh answered . 2025-11-20

    Consider N I-dimensional input column vectors. Each is associated with 1 of c distinct classes and a corresponding c-dimensional {0,1} unit column vector obtained from a column of the unit matrix eye(c).
     
    The corresponding dimensions of the input and target matrices are
     
     [ I N ] = size(input)
 [ c N ] = size(target)
    The correspondence between the true class indices in {1:c} and c-dimensional unit target column vectors is via
     
     
     target = full(ind2vec(trueclassindices))

 trueclassindices = vec2ind(target)
    For example
     
    >> trueclassindices = [ 5 2 3 1 4 ]
     
    >> target = full(ind2vec(trueclassindices))
     
    yields
     
    trueclassindices =
         5     2     3     1     4

    target =

         0     0     0     1     0
     0     1     0     0     0
     0     0     1     0     0
     0     0     0     0     1
     1     0     0     0     0
    PATTERNNET TRAINS the generic feedforward neural network FEEDFORWARDNET to map each input vector into it's corresponding target vector.
     
    See the documentation
     
     help patternnet
 doc patternnet
    and run the example.
     
    Then search for some of my examples from BOTH the NEWSGROUP and ANSWERS
     
     greg patternnet.

     


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