I see that t-SNE can help us reduce dimensions and visualize the data. But what information are we gaining from this visualization? As we know that the new axis don't have a meaning in our context.
Moreover, if we have a class labeled data, then what information can we gain from the visualization? We already know that there are some 'n' classes and that we have to classify new examples in one of these classes.
Or am I wrong to understand t-SNE?