Description

It is actually not possible to learn a transformation and reuse it on different data, as t-SNE does not learn a mapping function on a lower dimensional space, but rather runs an iterative procedure on a subspace to find an equilibrium that minimizes a loss/distance on a data set X ∈ ℝD.