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In your case, 2-dimensional embeddings are learned and visualized. If >=3 dimensional embeddings were learned and then dimension-reduced to 2D using UMAP or t-SNE like algorithms, will the visualization look different than current behavior?
The text was updated successfully, but these errors were encountered:
In your case, 2-dimensional embeddings are learned and visualized. If >=3 dimensional embeddings were learned and then dimension-reduced to 2D using UMAP or t-SNE like algorithms, will the visualization look different than current behavior?
The text was updated successfully, but these errors were encountered: