What makes t-sne supervised?
Wikipedia classifies the t-sne algorithm as a supervised method. I read that supervised methods involve training, with an input and a desired result.
I was thinking, the goal of t-sne is to minimize the Kullback–Leibler divergence. Does minimizing this divergence count as a "desired result", which makes it supervised?