I would suggest to look into feature selection methods. It's unlikely you'll have a small number of variables (i.e. features) that would unambiguously separate the different groups (although this does occasionally happen and when it does, we often have some previous knowledge or intuition about these variables) but some variables are usually more relevant than others and in combination have discriminatory power. The general idea is to train a classifier and look at which variables the model relies on.