t-SNE

Question: What’s t-SNE?

Answer: It’s the popular dimensonality reduction algorithm: t-distributed stochastic neighbor embedding (t-SNE), which is developed by Laurens van der Maaten and Geoffrey Hinton (see the original paper here).

To see how t-SNE cast the n-dimensional space into 3D or 2D space, check out: http://projector.tensorflow.org/

For a more practical take into t-SNE, check out http://distill.pub/2016/misread-tsne/, this Kaggle script of the week, and the video below:

Finding patterns in a t-SNE plot is both an art and science, with appropriate color able to make clear otherwise hidden patterns, while adding style to the aesthetics: https://github.com/kylemcdonald/Coloring-t-SNE/

Related: Illustrated introduction to the t-SNE algorithm by O’Reilly Media

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