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arvkevi committed May 14, 2022
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11 changes: 11 additions & 0 deletions CITATION.cff
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Arvai"
given-names: "Kevin"
orcid: "https://orcid.org/0000-0001-8751-8918"
title: "kneed"
version: 0.7.0
doi: 10.5281/zenodo.6496267
date-released: 2020-08-12
url: "https://github.com/arvkevi/kneed"
3 changes: 2 additions & 1 deletion README.md
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# kneed
Knee-point detection in Python

[![Downloads](https://pepy.tech/badge/kneed)](https://pepy.tech/project/kneed) [![Downloads](https://pepy.tech/badge/kneed/week)](https://pepy.tech/project/kneed) ![Dependents](https://badgen.net/github/dependents-repo/arvkevi/kneed/?icon=github) [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/arvkevi/ikneed/main/ikneed.py) [![Build Status](https://travis-ci.com/arvkevi/kneed.svg?branch=master)](https://travis-ci.com/arvkevi/kneed) [![codecov](https://codecov.io/gh/arvkevi/kneed/branch/master/graph/badge.svg)](https://codecov.io/gh/arvkevi/kneed)
[![Downloads](https://pepy.tech/badge/kneed)](https://pepy.tech/project/kneed) [![Downloads](https://pepy.tech/badge/kneed/week)](https://pepy.tech/project/kneed) ![Dependents](https://badgen.net/github/dependents-repo/arvkevi/kneed/?icon=github) [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/arvkevi/ikneed/main/ikneed.py) [![Build Status](https://travis-ci.com/arvkevi/kneed.svg?branch=master)](https://travis-ci.com/arvkevi/kneed) [![codecov](https://codecov.io/gh/arvkevi/kneed/branch/master/graph/badge.svg)](https://codecov.io/gh/arvkevi/kneed)[![DOI](https://zenodo.org/badge/113799037.svg)](https://zenodo.org/badge/latestdoi/113799037)


This repository is an attempt to implement the kneedle algorithm, published [here](https://www1.icsi.berkeley.edu/~barath/papers/kneedle-simplex11.pdf). Given a set of `x` and `y` values, `kneed` will return the knee point of the function. The knee point is the point of maximum curvature.

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