Hi
I have a dataset for classification problem which it is imbalanced .it contains 68 samples for class1, 98 samples for class2 and 21 samples for class 3.how should i balance my dataset???
What do you mean by “correlation matrix”? are you processing “correlation matrix” of FMRI using algorithms?!
If your meaning is FMRI images (without correlation matrix), you can use methods such as rotation, flip, shift, and etc.
Don’t forget, you can use pre-trained models when haven’t enough dataset, such as: ResNet50.