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Clustered Hierarchical Entropy-Scaling Search

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# 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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