How to feed a feature matrix for each class in multiclass classification?
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hello
I am using 'emd' for feature extraction. In my case, I will create 5 IMFs and extract 2 features from each so it would be a 5x2 matrix for each class label. How do I feed that to a multiclass classifier?
0 Kommentare
Antworten (1)
Prince Kumar
am 21 Jan. 2022
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!
0 Kommentare
Siehe auch
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!