Re:How to Use t-SNE Effectively
by denzil_correa on Saturday October 15, 2016 @06:03PM
(#12715849)
> t-SNE is used very widely in ML, both to analyze input data and to analyze learned representations.
I was wondering if t-SNE could be used to know the "goodness" of your selected features for the prediction task. In the sense, t-SNE could be used as an indicator for feature selection. I was wondering if some people have successfully used t-SNE for feature selection and in what cases.
Edit - Off Topic : Cool, homepage/blog.
To me, the canonical example of people using t-SNE this way is visualizing word embeddings, like this: http://metaoptimize.s3.amazonaws.com/cw-embeddings-ACL2010/e...
Also, some lovely examples of using t-SNE to visualize conv net representations: http://cs.stanford.edu/people/karpathy/cnnembed/
I think people have found it very useful as one of the main tools for understanding what deep models are doing (along with optimization-based feature visualization) and to just check that your model is learning. I haven't really heard about people using it to pick input features, but that's probably mostly because I don't really work with anyone doing feature engineering.