Clustered Hierarchical Entropy-Scaling Search
Project description
# Clustered Hierarchical Entropy-Scaling Search of Astrophysical and Biological Data
CHESS is a search algorithm for large data sets when the data exhibits certain geometric properties.
All classes and functions are very well documented in the code. If you want more details, read them. The [paper](https://arxiv.org/pdf/1908.08551.pdf) is available on the arXiv.
[](https://lgtm.com/projects/g/nishaq503/CHESS/context:python) [](https://codecov.io/gh/thoward27/chess) [](https://clustered-hierarchical-entropy-scaling-search.readthedocs.io/en/latest/?badge=latest)
## Installation
Download this repository…
`bash git clone https://github.com/nishaq503/CHESS.git `
## Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
## License [MIT](https://choosealicense.com/licenses/mit/)
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
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| Filename, size CHESS-python-nightly-0.9.4.dev33.tar.gz (20.1 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
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](https://lgtm.com/projects/g/nishaq503/CHESS/context:python){kind=link}
](https://codecov.io/gh/thoward27/chess){kind=link}