Elias_unk asked . 2021-07-20

Which's the better classifier to use for skin issues identification using matlab

My project consists of extracting color,texture and shape features and try to identify skin conditions,i'll obviously need more than 10 classes(diseases) and have around 40 to 50 samples of each to train,i've done my research regarding Neural networks,KNN,Naive Bayes,Multi class SVM and others but i'm still indecisive regarding which to use knowing that the most previous researches in this field are usually 2 classes using SVM or knn,so any advice or guidance would be appreciated.

texture , color , shape , image processing , knn, svm , classes , skin issues , skin , disease dete

Expert Answer

John Michell answered . 2024-12-21 15:56:12

I don't know which would be best for you. However, NNs are universal approximators and I would be surprised if any of the others would have significantly lower error rates.

The appropriate NN to use is PATTERNNET. See the online documentation

 help patternnet

and

 doc patternnet

I have posted many examples on both the NEWSGROUP and ANSWERS. Use the search words

 greg patternnet

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