I am currently working to develop an automated diabetic retinopathy detection system. I've used GLCM for feature extraction obtaining Contrast, Correlation, Energy & Homogeneity values. How can I perform classification using these values ?

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Accepted Answer

Greg Heath
Greg Heath on 10 Oct 2014
The obvious answer is to use patternnet with
[ I N] = size(input) % I = 4
[ C N ] = size(target) % C = Number of classes
Columns of target are {0 1} C-dimensional unit vectors.
For patternnet documentation
help patternnet
doc patternnet
For examples of classification data
help nndatasets
doc nndatasets
Hope this helps.
Thank you for formally accepting my answer
Greg
  3 Comments
Greg Heath
Greg Heath on 17 Oct 2014
>> net = create_pr_net(X,T);
Undefined function 'create_pr_net' for input arguments of type 'double'.
Where is it defined?

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