I vaguely remember some paper where they didn’t even bother normalizing the vectors, because they expected zeros to be very close to zero, and anything else was

I vaguely remember some paper where they didn’t even bother normalizing the vectors, because they expected zeros to be very close to zero, and anything else was considered a one. I have no idea if this a common optimization or if it was something very niche. It was for a heuristic matrix reordering strategy, so I think they were willing to accept some mistakes.