A Python package for SGtSNEpi
Project description
PySGtSNEpi
PySGtSNEpi is a Python module (wrapper) implementing the Swift Neighbor Embedding of Sparse Stochastic Graphs (SG-t-SNE-Π) algorithm.
🚀 Features
-
SGtSNEpi
Embed sparse stochastic graphs. [TBD] -
Lambda Equalization
Equalize the local entropy of columns in a matrix.
📦 Installation
Install from PyPI
pip install pysgtsnepi
Install from source
git clone https://github.com/qqgjyx/pysgtsnepi.git
cd pysgtsnepi
pip install .
🛠 Contributing
We welcome contributions to improve mheatmap! Please follow these steps:
- Fork the repository
- Create a new branch (
feature-branch) - Commit your changes
- Open a pull request
🔗 Links
📝 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}
}
📝 License
This project is licensed under the MIT License. See the LICENSE file for details.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pysgtsnepi-0.1.1.tar.gz.
File metadata
- Download URL: pysgtsnepi-0.1.1.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0d588ee29c0eb2d79aff51a11a55a84308931205101841950bac6174f9a00649
|
|
| MD5 |
aac1fe6093458e47a327f66a08834140
|
|
| BLAKE2b-256 |
6f2da6cc9d2fe842b4ec36ec59c4bf1a27b162a668fa61d59496a3197e76c074
|
File details
Details for the file pysgtsnepi-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pysgtsnepi-0.1.1-py3-none-any.whl
- Upload date:
- Size: 7.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a5e27b3e252ad7d551486584e49724115bf9951b8f1903bcbab6909a4389092e
|
|
| MD5 |
c9e1d90f906d5b8b5e98a8c5c497c2e6
|
|
| BLAKE2b-256 |
9c9ff946e7b591f59eb9b57320614efed18363473fd8a833d9c55548c67e5224
|