A popular method for exploring high-dimensional data is something called t-SNE, introduced by van der Maaten and Hinton in 2008 [1]. The technique has become widespread in the field of machine learning, since it has an almost magical ability to create compelling two-dimensonal “maps” from data with hundreds or even thousands of dimensions. Although impressive, these images can be tempting to misre
![How to Use t-SNE Effectively](https://cdn-ak-scissors.b.st-hatena.com/image/square/c528a7b8ffe9e040f5f38f35bf8d1c771a4ab67f/height=288;version=1;width=512/http%3A%2F%2Fdistill.pub%2F2016%2Fmisread-tsne%2Fthumbnail.jpg)