I am a bit new to this, but I just had a quick question about clustering vs. classification. I have a bunch of texts that I want to classify. There are 4 classes I have at the moment, but texts can belong to more than one class. What I have seen so far is to do 4 binary classifications, but I was wondering if there is a classification algorithm where I can achieve texts belonging to more than one class. Or could I do this with clustering having overlapping clusters?
I am trying to do this in Python.