> 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 "goodn

> 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.