Hi,
I am a beginner in ML. Thanks for the wonderful article, it helped me understand t-SNE a lot better.
Regarding point-4 in the article, can't we run t-SNE over multiple perplexity values and choose only the one with the least value of KL-Divergence? So, clusters in such a plot must be meaningful? Or am I wrong about trying to minimize KL-Divergence?