Easy t-sne plotter

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE).
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更新 2019/5/14

This is Matlab script for plotting 2 Dimensional and 3 Dimensional t-Distributed Stochastic Neighbor Embedding (t-SNE)

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets. The technique can be implemented via Barnes-Hut approximations, allowing it to be applied on large real-world datasets. For more information, check this page.

How to use?

1. Clone this repository.
2. How the Dataset and label should be arranged?
i. The script requires two inputs - Data and Label.
ii. Arrangement of Data - First column should be "label name" and rest of the columns should be "features".
iii. Arrangement of Label - First column should be "label name" , which should be in the same order as
iv. Data's label names.
3. Each row in both Data and Label is a sample.
4. Replace the Data and Label in folder inputs directory with the same name.
5. Run the script tsne_example.m.

The code will generate both 2D and 3D t-sne plots. Examples of Data,Label and t-sne plots have been included with this repository.

For more detailed instructions check the website : https://rahulvigneswaran.github.io/tsne-plotter/

Issue / Want to Contribute ? :
Open a new issue (https://github.com/rahulvigneswaran/tsne-plotter/issues) or do a pull request (https://github.com/rahulvigneswaran/tsne-plotter/pulls) in case you are facing any difficulty with the code base or you want to contribute to it.

引用

Rahul-Vigneswaran K (2019). t-sne plotter (https://www.github.com/rahulvigneswaran/tsne-plotter), GitHub. Retrieved May 14, 2019.

MATLAB リリースの互換性
作成: R2018b
R2017a 以降のリリースと互換性あり
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Help Center および MATLAB AnswersDimensionality Reduction and Feature Extraction についてさらに検索

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1.0.4

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1.0.2

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1.0.0

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この GitHub アドオンでの問題を表示または報告するには、GitHub リポジトリにアクセスしてください。