t-SNE Flashcards

1
Q

What is t-SNE?

links:

https: //lvdmaaten.github.io/publications/papers/JMLR_2014.pdf
https: //www.youtube.com/watch?v=RJVL80Gg3lA

A

embedding technique commonly used for visualizing high-dim data in scatter plots

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2
Q

similarity in stochastic neighbor embedding (SNE)

A

in SNE one computes a NxN similarity matrix in both the original and the low-dim data spaces; each matrix forms a probability distribution over pair of objects:

  • similar objects’ pairs have high probability
  • dissimilar objects’ pairs have low probability
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3
Q

probability distributions in SNE

A

represented usually by normalized Gaussian or Student-t kernel

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4
Q

learning the SNE

A

low-dim embedding is learned by minimizing the KL between the 2 distributions wrt to the locations of the points in the embedding

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