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Hello, I would like to ask about the t-sne visualization code
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### Branch
master branch https://mmdetection.readthedocs.io/en/latest/
### 📚 The doc issue
Is there anyone who can help me? I would like to perform a t-SNE visualisation. Thank you very much.
###…
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Hi!When we use t-SNE to draw, for the output features of the model, do we use the predicted label of the corresponding model or the true label of the sample?
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for features exploration
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Hi all,
I've been searching github for ways to classify documents (E.g. Word or Excel documents in a corpus) and found the paper on Q-SNE interesting and the code self-contained and easy to deploy.…
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Hi, thanks for sharing this great work. Could you kindly share the implementation of 'T-SNE' in your paper?
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Tips for visualizing with t-SNE
If you have problems getting any results from t-SNE (typically getting the 't-SNE ball'), there are some tricks you can try. Observe that this is not a specific proble…
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t-SNE provides a good picture of document-topic clustering. We should use it for better visualization when comparing different modelling methods
mkls6 updated
3 years ago
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https://pypi.org/project/tsne/ Better than PCA
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Note: Sklearn implementation of T-SNE shouldn't be used as reference for CPU, it's terribad :/.
Cuda t-SNE: https://github.com/CannyLab/tsne-cuda