t-Distributed Stochastic Neighbor Embedding (t-SNE) is a technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. 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. The technique and its variants are intro
![t-SNE](https://cdn-ak-scissors.b.st-hatena.com/image/square/ac7c6e5b5276d28b43619aec4417248c9693251d/height=288;version=1;width=512/https%3A%2F%2Flvdmaaten.github.io%2Fimages%2Fsample-image-6.jpg)