Is it possible to do feature normalization with respective to class. EX: 10x10 data matrix with two class. Each class of size 5x5. Now normalize 25 features of class 1 and 25 features of class 2 separately. Is this process acceptable.
Another reason why you can't use class-specific normalization is that if you do, you can normalize one class, say, between -2 and -1 and the other one between 1 and 2 and get perfect results with 100% accuracy on the training data.