I have two non-overlapping sets of items, with feature counts for each. What standard algorithms can I use to extract the most statistically distinct features of each set?
- Items served at American restaurants (5 restaurants surveyed):
- bread: 4
- burgers: 2
- cheese: 1
- cronuts: 2
- pasta: 2
- Items served at Italian restaurants (10 restaurants surveyed):
- bread: 7
- pasta: 10
- cheese: 8
I want to be able to know that cronuts and burgers are distinctly associated with American restaurant menus, and cheese and pasta are distinctly associated with Italian restaurant menus.