Comments (4)
Hi - As stated in our paper, the figure is generated using t-SNE projection of the learnt representations. You can first save the features and then run t-SNE on them. We used the tsne function in the sklearn library for implementation.
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Thanks for your reply.
Could you release the code of the implementation?
Thanks a lot
from imbalanced-semi-self.
Unfortunately I didn't save the visualization as a single file, but it should be simple and straightforward to implement: save the features first, and then run t-SNE on them.
from imbalanced-semi-self.
Thanks, I have implemented it successfully.
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