News for hackers. Stuff that matters.

A comment on Let’s Try t-SNE. Parent comment

Re:Let’s Try t-SNE by amelius on Sunday December 23, 2018 @09:49AM (#18746327)
In this tutorial the author reduces the size of the images from 28x28 to 10x10 to make the computation more tractable.

Would that be necessary with UMAP too?

[ Parent | on HN ]
Re:Let’s Try t-SNE by b_tterc_p on Tuesday December 25, 2018 @12:49AM (#18756151)
T SNE and UMAP are techniques for dimensionality reduction. Both of them scale pretty well to high dimensionality problems. I think the author downsized the data because he wanted to provide an interactive model. If I were doing this I would probably just leave it as is for either method. The article I linked actually does benchmark on the same dataset though. For the full 70,000 images at 28x28, it claims 87 seconds for UMAP and 1450 for TSNE.
[ Parent | on HN ]