https://github.com/recynie/tsne-poster

PRML HW: t-SNE poster
https://github.com/recynie/tsne-poster

jupyter-notebook poster python3

Last synced: 29 days ago
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PRML HW: t-SNE poster

• Host: GitHub
• URL: https://github.com/recynie/tsne-poster
• Owner: recynie
• Created: 2024-11-08T01:29:42.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-11-23T07:11:08.000Z (3 months ago)
• Last Synced: 2025-01-24T02:15:26.781Z (29 days ago)
• Topics: jupyter-notebook, poster, python3
• Language: Jupyter Notebook
• Homepage: https://github.com/recynie/tSNE-poster
• Size: 23.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# t-SNE Poster

This repository contains: some figures displayed in the poster, source codes, and references.

## Figures

Kannada MNIST data set with t-SNE and PCA_t-SNE:

![Kannada MNIST data set with t-SNE and PCA_t-SNE](high_resolution_fig/tSNE%20and%20PCA_tSNE.png)

MNIST data set with t-SNE and PCA_t-SNE:

![MNIST data set with t-SNE and PCA_t-SNE](altair/tSNE%20and%20PCA_tSNE.png)

MNIST (0~4 digits) with t-SNE (the same figure in poster):

![MNIST (0~4 digits) with t-SNE](altair/tSNE_4digits.png)

## References

original paper: [Visualizing Data using t-SNE](https://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf)

source of the notebook `visualizing-kannada-mnist-with-t-sne.ipynb` and references on visualizing Kannada MNIST: [Visualizing Kannada MNIST with t-SNE](https://www.kaggle.com/code/parulpandey/visualizing-kannada-mnist-with-t-sne) on Kaggle.

Visaulization tools: [Matplotlib](https://matplotlib.org/), [Vega-Altair](https://altair-viz.github.io/), and [Bokeh](https://bokeh.org/).

Datasets in our poster and original paper are available from:

[MNIST data set](http://yann.lecun.com/exdb/mnist/index.html) , [Kannada MNIST data set](https://github.com/vinayprabhu/Kannada_MNIST) , [Olivertti faces data set](http://mambo.ucsc.edu/psl/olivetti.html) , and [COIL-20](https://www.cs.columbia.edu/CAVE/software/softlib/coil-20.php).

some other visualization:

OpenVaccine:[visualization](https://www.kaggle.com/competitions/stanford-covid-vaccine/discussion/186678) and [notebook](https://www.kaggle.com/code/vatsalparsaniya/openvaccine-t-sne-rapids)

[How to Use tSNE effectively](https://distill.pub/2016/misread-tsne/)

[Dimenionality reduction (PCA, tSNE)](https://www.kaggle.com/code/tilii7/dimensionality-reduction-pca-tsne)

[severity of diabetic retinopathy](https://www.kaggle.com/code/code1110/are-there-clusters-pca-tsne-vae)