t-SNE with a classifier

r-tsne
machine_learning
clustering

#1

In articles like these:

Link 1
Link 2

the authors mention using the dimension reduction vectors as features for a classifier (be it RF or XGB).

However, the original t-SNE application is fully heuristic in nature. I can imagine performing t-SNE—>classifier on the training data. But, there isn’t a way to apply a “trained t-SNE” model on the test data.

So, my question is: How does one apply t-SNE in a classification scheme? What am I missing?