I would not even try to map the data to the Grassmannian and use the naturally defined metric to determine clustering of the data on various manifolds.
Bad ideas don't work in practice.
Seriously. Avoid this notion at all costs. Grassmannians are tricky beasts.
RE: Improving Steem’s rankings to cater to diverse content preferences