t-SNE

The technique can be implemented via Barnes-Hut approximations, allowing it to be applied on large real-world datasets. We applied it on data sets with up to 30 million examples. An accessible introduction to t-SNE and its variants is given in this Google Techtalk. Below, implementations of t-SNE in various languages are available for download. Some of these implementations were developed by me, and some by other contributors. For the standard t-SNE method, implementations in Matlab, C, CUDA, Python, Torch, R, Julia, and JavaScript are available.