4 ms·
Where is T-SNE? ;)
by hoerzu 9y ago
Where is T-SNE? ;)
- jxub 9y agoFor anyone who had to google it like me, T-SNE is T-Distributed Stochastic Neighbor Embedding, and the way I understand it is that it's essentially a statistical way to reduce data dimensionality while still preserving its structure.
- b_tterc_p 9y agoDimension reduction technique. For word vectors, the usual use case is to take the 400 dimension vector and turn it into a 2 dimension vector that you can use to plot like a scatterplot. Similar things will be close together. Dissimilar things will be far apart. It's kind of like principal components analysis but quirkier. For those who like Tsne. Check out the relatively new UMAP, which seems to be faster and better.