Hi,
You can feed the input matrix like you do it binary classifier or any classifier.
Please refer the following code for better understanding:
load fisheriris
Mdl = fitctree(meas,species)
After you load the fisheriris dataset, you get meas (150x4) as input matrix and species(150x1) as target array.
Now you simply call "fitctree" to train a multiclass decision tree.
You can now use "predict" function to do the classification on the trained classifier.
X = [4.85,3.4,1.3,0.22];
label = predict(Mdl,X)
Hope this helps!
