Comments (7)
No, it will not. This code uses quadTree data structure which can't be used with dim > 2.
from multicore-tsne.
Some day I will give it a try
from multicore-tsne.
is that even the point of t-SNE?
from multicore-tsne.
It's mainly used for 2D visualization, so not really.
But the real point of t-SNE is to tackle the crowding problem of "heavy" dimensionality reduction (target dimension << starting dimension), which is not tied to D=2 in any way. Hence applying the algorithm for D > 2 is perfectly meaningful and maybe could be of some use to someone.
from multicore-tsne.
Hey there. Agree, would be great to have n>2 support.
@DmitryUlyanov , If I'd just change hardcoded do_dim and other vars from 2 to say 5 everywhere, will that work?
Thanks.
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from multicore-tsne.
Supported via #35
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Related Issues (20)
- Build Fails on ubuntu 18.04 HOT 8
- Memory Allocation Fail (Big Data)
- TSNE results in dense centred ball HOT 2
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- License Clarification HOT 1
- Failed building wheel for MulticoreTSNE HOT 1
- Non-verbose crash on input containing NaN
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- Fix compiling HOT 5
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- Type error with sklearn 1.2.3 HOT 1
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