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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.

[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/nishaq503/CHESS.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/nishaq503/CHESS/context:python) [![codecov](https://codecov.io/gh/thoward27/chess/branch/master/graph/badge.svg)](https://codecov.io/gh/thoward27/chess) [![Documentation Status](https://readthedocs.org/projects/clustered-hierarchical-entropy-scaling-search/badge/?version=latest)](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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Files for CHESS-python, version 1.1.0
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Filename, size CHESS_python-1.1.0-py3-none-any.whl (12.4 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size CHESS-python-1.1.0.tar.gz (19.7 kB) File type Source Python version None Upload date Hashes View hashes

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