I'm trying to decide what sort ofunderstand which similarity measure I should usebe used in which situations.
- Roughly speaking, when should someone use the dot product to assess similarity between vectors?
- Roughly speaking, when should someone use the norm of the vector difference to assess similarity between vectors?
- What are the pros and cons of these approaches?
I'm not looking for a specific answer on which one I should use for a specific problem. I'm wondering more generally about when these approaches should be expected to work well.