Y
Hacker News
new
|
ask
|
show
|
jobs
by
mike_ivanov
893 days ago
Why 2D? (edit: just the vis or there is some other reason?)
1 comments
minimaxir
893 days ago
Both the viz, and that the 2D UMAP projection is actually enough to get accurately delineated topics.
Hence why I think the typical embedding dimensionality is way way too high.
link
markisus
893 days ago
Do you think 1D could work? Maybe topic-space is some sort of tree-shaped structure where documents live in the thin strands.
link
minimaxir
893 days ago
1D could work on certain datasets but it wouldn't be ideal.
link
adammarples
893 days ago
Why not just embed directly to 2d? Does it give worse results than UMAP?
link
Hence why I think the typical embedding dimensionality is way way too high.