pysgtsnepi 0.1.3

A Python package for SGtSNEpi

PySGtSNEpi

PySGtSNEpi is a Python module (wrapper) implementing the Swift Neighbor Embedding of Sparse Stochastic Graphs (SG-t-SNE-Π) algorithm.

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🚀 Features

• SGtSNEpi
  Embed sparse stochastic graphs. [TBD]

• Lambda Equalization
  Equalize the local entropy of columns in a matrix.

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📦 Installation

Install from PyPI

pip install pysgtsnepi

Install from source

git clone https://github.com/qqgjyx/pysgtsnepi.git
cd pysgtsnepi
pip install .

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📚 Documentation

Full documentation is available at www.qqgjyx.com/pysgtsnepi.

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🛠 Contributing

We welcome contributions to improve mheatmap! Please follow these steps:

1. Fork the repository
2. Create a new branch (feature-branch)
3. Commit your changes
4. Open a pull request

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🔗 Links

• SGtSNEpi.jl
• sgtsnepi

📝 Citation

If you use our package, please cite:

@inproceedings{pitsianis2019hpec,
  title = {Spaceland Embedding of Sparse Stochastic Graphs},
  booktitle = {{{IEEE High Performance Extreme Computing Conference}}},
  author = {Pitsianis, Nikos and Iliopoulos, Alexandros-Stavros and Floros, Dimitris and Sun, Xiaobai},
  date = {2019},
  doi = {10.1109/HPEC.2019.8916505}
}

@article{pitsianis2019joss,
  title = {{{SG-t-SNE-Π}}: Swift Neighbor Embedding of Sparse Stochastic Graphs},
  author = {Pitsianis, Nikos and Floros, Dimitris and Iliopoulos, Alexandros-Stavros and Sun, Xiaobai},
  date = {2019},
  journaltitle = {Journal of Open Source Software},
  volume = {4},
  number = {39},
  pages = {1577},
  issn = {2475-9066},
  doi = {10.21105/joss.01577},
  url = {http://dx.doi.org/10.21105/joss.01577}
}

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📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

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